Problem description

There is a real business scenario involving risk analytics in banking and financial services to minimize the risk of losing money while lending to customers (Loan applications/approvals).

Two types of risks are associated with the bank’s decision:

  • If the applicant is likely to repay the loan, then not approving the loan results in a loss of business to the company

  • If the applicant is not likely to repay the loan, i.e. he/she is likely to default, then approving the loan may lead to a financial loss for the company.

The data given below contains the information about the loan application at the time of applying for the loan. It contains two types of scenarios:

  • The client with payment difficulties: he/she had late payment more than X days on at least one of the first Y instalments of the loan in our sample,----Typically late payments on X days and Y instalments

  • All other cases: All other cases when the payment is paid on time.

there are four types of decisions that could be taken by the client/company:

  • Approved: The Company has approved loan Application

  • Cancelled: The client cancelled the application sometime during approval. Either the client changed her/his mind about the loan or in some cases due to a higher risk of the client he received worse pricing which he did not want.

  • Refused: The company had rejected the loan (because the client does not meet their requirements etc.).

  • Unused offer: Loan has been cancelled by the client but on different stages of the process.

Aim : To identify consumers/customers capable of repaying the loan are not being rejected.

In [1]:
#### Importing all the necessary libraries 
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
import warnings
warnings.filterwarnings("ignore")

Data understanding and available files

This dataset has 3 files as explained below:

  1. 'application_data.csv' contains all the information of the client at the time of application. The data is about whether a client has payment difficulties.

  2. 'previous_application.csv' contains information about the client’s previous loan data. It contains the data whether the previous application had been Approved, Cancelled, Refused or Unused offer.

  3. 'columns_description.csv' is data dictionary which describes the meaning of the variables.

In [96]:
### Lets import the application data into pandas dataframe
app = pd.read_csv("application_data.csv")
app.head()
## appears to have lot of columns, let know what they are....
Out[96]:
SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE NAME_TYPE_SUITE NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL OCCUPATION_TYPE CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY WEEKDAY_APPR_PROCESS_START HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY ORGANIZATION_TYPE EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 APARTMENTS_AVG BASEMENTAREA_AVG YEARS_BEGINEXPLUATATION_AVG YEARS_BUILD_AVG COMMONAREA_AVG ELEVATORS_AVG ENTRANCES_AVG FLOORSMAX_AVG FLOORSMIN_AVG LANDAREA_AVG LIVINGAPARTMENTS_AVG LIVINGAREA_AVG NONLIVINGAPARTMENTS_AVG NONLIVINGAREA_AVG APARTMENTS_MODE BASEMENTAREA_MODE YEARS_BEGINEXPLUATATION_MODE YEARS_BUILD_MODE COMMONAREA_MODE ELEVATORS_MODE ENTRANCES_MODE FLOORSMAX_MODE FLOORSMIN_MODE LANDAREA_MODE LIVINGAPARTMENTS_MODE LIVINGAREA_MODE NONLIVINGAPARTMENTS_MODE NONLIVINGAREA_MODE APARTMENTS_MEDI BASEMENTAREA_MEDI YEARS_BEGINEXPLUATATION_MEDI YEARS_BUILD_MEDI COMMONAREA_MEDI ELEVATORS_MEDI ENTRANCES_MEDI FLOORSMAX_MEDI FLOORSMIN_MEDI LANDAREA_MEDI LIVINGAPARTMENTS_MEDI LIVINGAREA_MEDI NONLIVINGAPARTMENTS_MEDI NONLIVINGAREA_MEDI FONDKAPREMONT_MODE HOUSETYPE_MODE TOTALAREA_MODE WALLSMATERIAL_MODE EMERGENCYSTATE_MODE OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
0 100002 1 Cash loans M N Y 0 202500.0 406597.5 24700.5 351000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.018801 -9461 -637 -3648.0 -2120 NaN 1 1 0 1 1 0 Laborers 1.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.083037 0.262949 0.139376 0.0247 0.0369 0.9722 0.6192 0.0143 0.00 0.0690 0.0833 0.1250 0.0369 0.0202 0.0190 0.0000 0.0000 0.0252 0.0383 0.9722 0.6341 0.0144 0.0000 0.0690 0.0833 0.1250 0.0377 0.022 0.0198 0.0 0.0 0.0250 0.0369 0.9722 0.6243 0.0144 0.00 0.0690 0.0833 0.1250 0.0375 0.0205 0.0193 0.0000 0.00 reg oper account block of flats 0.0149 Stone, brick No 2.0 2.0 2.0 2.0 -1134.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
1 100003 0 Cash loans F N N 0 270000.0 1293502.5 35698.5 1129500.0 Family State servant Higher education Married House / apartment 0.003541 -16765 -1188 -1186.0 -291 NaN 1 1 0 1 1 0 Core staff 2.0 1 1 MONDAY 11 0 0 0 0 0 0 School 0.311267 0.622246 NaN 0.0959 0.0529 0.9851 0.7960 0.0605 0.08 0.0345 0.2917 0.3333 0.0130 0.0773 0.0549 0.0039 0.0098 0.0924 0.0538 0.9851 0.8040 0.0497 0.0806 0.0345 0.2917 0.3333 0.0128 0.079 0.0554 0.0 0.0 0.0968 0.0529 0.9851 0.7987 0.0608 0.08 0.0345 0.2917 0.3333 0.0132 0.0787 0.0558 0.0039 0.01 reg oper account block of flats 0.0714 Block No 1.0 0.0 1.0 0.0 -828.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
2 100004 0 Revolving loans M Y Y 0 67500.0 135000.0 6750.0 135000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.010032 -19046 -225 -4260.0 -2531 26.0 1 1 1 1 1 0 Laborers 1.0 2 2 MONDAY 9 0 0 0 0 0 0 Government NaN 0.555912 0.729567 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.0 0.0 0.0 0.0 -815.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
3 100006 0 Cash loans F N Y 0 135000.0 312682.5 29686.5 297000.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.008019 -19005 -3039 -9833.0 -2437 NaN 1 1 0 1 0 0 Laborers 2.0 2 2 WEDNESDAY 17 0 0 0 0 0 0 Business Entity Type 3 NaN 0.650442 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 2.0 0.0 2.0 0.0 -617.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
4 100007 0 Cash loans M N Y 0 121500.0 513000.0 21865.5 513000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.028663 -19932 -3038 -4311.0 -3458 NaN 1 1 0 1 0 0 Core staff 1.0 2 2 THURSDAY 11 0 0 0 0 1 1 Religion NaN 0.322738 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 0.0 0.0 0.0 0.0 -1106.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
In [97]:
app.shape
Out[97]:
(307511, 122)
We have (307511, 122) rows and columns, To decide which columns are feasible for risk analytics, we have to know what they are....data!!

This can be checked in the columns description.csv file

In [98]:
### checking on datatypes 
app.info()
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 307511 entries, 0 to 307510
Columns: 122 entries, SK_ID_CURR to AMT_REQ_CREDIT_BUREAU_YEAR
dtypes: float64(65), int64(41), object(16)
memory usage: 286.2+ MB
In [99]:
### Columns with object data types
app.select_dtypes(["object"]).columns, len(app.select_dtypes(["object"]).columns)
Out[99]:
(Index(['NAME_CONTRACT_TYPE', 'CODE_GENDER', 'FLAG_OWN_CAR', 'FLAG_OWN_REALTY',
        'NAME_TYPE_SUITE', 'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE',
        'NAME_FAMILY_STATUS', 'NAME_HOUSING_TYPE', 'OCCUPATION_TYPE',
        'WEEKDAY_APPR_PROCESS_START', 'ORGANIZATION_TYPE', 'FONDKAPREMONT_MODE',
        'HOUSETYPE_MODE', 'WALLSMATERIAL_MODE', 'EMERGENCYSTATE_MODE'],
       dtype='object'), 16)
In [100]:
### Columns with int data types
app.select_dtypes(["int64"]).columns
Out[100]:
Index(['SK_ID_CURR', 'TARGET', 'CNT_CHILDREN', 'DAYS_BIRTH', 'DAYS_EMPLOYED',
       'DAYS_ID_PUBLISH', 'FLAG_MOBIL', 'FLAG_EMP_PHONE', 'FLAG_WORK_PHONE',
       'FLAG_CONT_MOBILE', 'FLAG_PHONE', 'FLAG_EMAIL', 'REGION_RATING_CLIENT',
       'REGION_RATING_CLIENT_W_CITY', 'HOUR_APPR_PROCESS_START',
       'REG_REGION_NOT_LIVE_REGION', 'REG_REGION_NOT_WORK_REGION',
       'LIVE_REGION_NOT_WORK_REGION', 'REG_CITY_NOT_LIVE_CITY',
       'REG_CITY_NOT_WORK_CITY', 'LIVE_CITY_NOT_WORK_CITY', 'FLAG_DOCUMENT_2',
       'FLAG_DOCUMENT_3', 'FLAG_DOCUMENT_4', 'FLAG_DOCUMENT_5',
       'FLAG_DOCUMENT_6', 'FLAG_DOCUMENT_7', 'FLAG_DOCUMENT_8',
       'FLAG_DOCUMENT_9', 'FLAG_DOCUMENT_10', 'FLAG_DOCUMENT_11',
       'FLAG_DOCUMENT_12', 'FLAG_DOCUMENT_13', 'FLAG_DOCUMENT_14',
       'FLAG_DOCUMENT_15', 'FLAG_DOCUMENT_16', 'FLAG_DOCUMENT_17',
       'FLAG_DOCUMENT_18', 'FLAG_DOCUMENT_19', 'FLAG_DOCUMENT_20',
       'FLAG_DOCUMENT_21'],
      dtype='object')
In [101]:
### Columns with float data types
app.select_dtypes(["float64"]).columns
Out[101]:
Index(['AMT_INCOME_TOTAL', 'AMT_CREDIT', 'AMT_ANNUITY', 'AMT_GOODS_PRICE',
       'REGION_POPULATION_RELATIVE', 'DAYS_REGISTRATION', 'OWN_CAR_AGE',
       'CNT_FAM_MEMBERS', 'EXT_SOURCE_1', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
       'APARTMENTS_AVG', 'BASEMENTAREA_AVG', 'YEARS_BEGINEXPLUATATION_AVG',
       'YEARS_BUILD_AVG', 'COMMONAREA_AVG', 'ELEVATORS_AVG', 'ENTRANCES_AVG',
       'FLOORSMAX_AVG', 'FLOORSMIN_AVG', 'LANDAREA_AVG',
       'LIVINGAPARTMENTS_AVG', 'LIVINGAREA_AVG', 'NONLIVINGAPARTMENTS_AVG',
       'NONLIVINGAREA_AVG', 'APARTMENTS_MODE', 'BASEMENTAREA_MODE',
       'YEARS_BEGINEXPLUATATION_MODE', 'YEARS_BUILD_MODE', 'COMMONAREA_MODE',
       'ELEVATORS_MODE', 'ENTRANCES_MODE', 'FLOORSMAX_MODE', 'FLOORSMIN_MODE',
       'LANDAREA_MODE', 'LIVINGAPARTMENTS_MODE', 'LIVINGAREA_MODE',
       'NONLIVINGAPARTMENTS_MODE', 'NONLIVINGAREA_MODE', 'APARTMENTS_MEDI',
       'BASEMENTAREA_MEDI', 'YEARS_BEGINEXPLUATATION_MEDI', 'YEARS_BUILD_MEDI',
       'COMMONAREA_MEDI', 'ELEVATORS_MEDI', 'ENTRANCES_MEDI', 'FLOORSMAX_MEDI',
       'FLOORSMIN_MEDI', 'LANDAREA_MEDI', 'LIVINGAPARTMENTS_MEDI',
       'LIVINGAREA_MEDI', 'NONLIVINGAPARTMENTS_MEDI', 'NONLIVINGAREA_MEDI',
       'TOTALAREA_MODE', 'OBS_30_CNT_SOCIAL_CIRCLE',
       'DEF_30_CNT_SOCIAL_CIRCLE', 'OBS_60_CNT_SOCIAL_CIRCLE',
       'DEF_60_CNT_SOCIAL_CIRCLE', 'DAYS_LAST_PHONE_CHANGE',
       'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
       'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
       'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR'],
      dtype='object')
In [102]:
### Using verbose will identify all the columns and there data types
app.info(verbose=True)
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 307511 entries, 0 to 307510
Data columns (total 122 columns):
SK_ID_CURR                      int64
TARGET                          int64
NAME_CONTRACT_TYPE              object
CODE_GENDER                     object
FLAG_OWN_CAR                    object
FLAG_OWN_REALTY                 object
CNT_CHILDREN                    int64
AMT_INCOME_TOTAL                float64
AMT_CREDIT                      float64
AMT_ANNUITY                     float64
AMT_GOODS_PRICE                 float64
NAME_TYPE_SUITE                 object
NAME_INCOME_TYPE                object
NAME_EDUCATION_TYPE             object
NAME_FAMILY_STATUS              object
NAME_HOUSING_TYPE               object
REGION_POPULATION_RELATIVE      float64
DAYS_BIRTH                      int64
DAYS_EMPLOYED                   int64
DAYS_REGISTRATION               float64
DAYS_ID_PUBLISH                 int64
OWN_CAR_AGE                     float64
FLAG_MOBIL                      int64
FLAG_EMP_PHONE                  int64
FLAG_WORK_PHONE                 int64
FLAG_CONT_MOBILE                int64
FLAG_PHONE                      int64
FLAG_EMAIL                      int64
OCCUPATION_TYPE                 object
CNT_FAM_MEMBERS                 float64
REGION_RATING_CLIENT            int64
REGION_RATING_CLIENT_W_CITY     int64
WEEKDAY_APPR_PROCESS_START      object
HOUR_APPR_PROCESS_START         int64
REG_REGION_NOT_LIVE_REGION      int64
REG_REGION_NOT_WORK_REGION      int64
LIVE_REGION_NOT_WORK_REGION     int64
REG_CITY_NOT_LIVE_CITY          int64
REG_CITY_NOT_WORK_CITY          int64
LIVE_CITY_NOT_WORK_CITY         int64
ORGANIZATION_TYPE               object
EXT_SOURCE_1                    float64
EXT_SOURCE_2                    float64
EXT_SOURCE_3                    float64
APARTMENTS_AVG                  float64
BASEMENTAREA_AVG                float64
YEARS_BEGINEXPLUATATION_AVG     float64
YEARS_BUILD_AVG                 float64
COMMONAREA_AVG                  float64
ELEVATORS_AVG                   float64
ENTRANCES_AVG                   float64
FLOORSMAX_AVG                   float64
FLOORSMIN_AVG                   float64
LANDAREA_AVG                    float64
LIVINGAPARTMENTS_AVG            float64
LIVINGAREA_AVG                  float64
NONLIVINGAPARTMENTS_AVG         float64
NONLIVINGAREA_AVG               float64
APARTMENTS_MODE                 float64
BASEMENTAREA_MODE               float64
YEARS_BEGINEXPLUATATION_MODE    float64
YEARS_BUILD_MODE                float64
COMMONAREA_MODE                 float64
ELEVATORS_MODE                  float64
ENTRANCES_MODE                  float64
FLOORSMAX_MODE                  float64
FLOORSMIN_MODE                  float64
LANDAREA_MODE                   float64
LIVINGAPARTMENTS_MODE           float64
LIVINGAREA_MODE                 float64
NONLIVINGAPARTMENTS_MODE        float64
NONLIVINGAREA_MODE              float64
APARTMENTS_MEDI                 float64
BASEMENTAREA_MEDI               float64
YEARS_BEGINEXPLUATATION_MEDI    float64
YEARS_BUILD_MEDI                float64
COMMONAREA_MEDI                 float64
ELEVATORS_MEDI                  float64
ENTRANCES_MEDI                  float64
FLOORSMAX_MEDI                  float64
FLOORSMIN_MEDI                  float64
LANDAREA_MEDI                   float64
LIVINGAPARTMENTS_MEDI           float64
LIVINGAREA_MEDI                 float64
NONLIVINGAPARTMENTS_MEDI        float64
NONLIVINGAREA_MEDI              float64
FONDKAPREMONT_MODE              object
HOUSETYPE_MODE                  object
TOTALAREA_MODE                  float64
WALLSMATERIAL_MODE              object
EMERGENCYSTATE_MODE             object
OBS_30_CNT_SOCIAL_CIRCLE        float64
DEF_30_CNT_SOCIAL_CIRCLE        float64
OBS_60_CNT_SOCIAL_CIRCLE        float64
DEF_60_CNT_SOCIAL_CIRCLE        float64
DAYS_LAST_PHONE_CHANGE          float64
FLAG_DOCUMENT_2                 int64
FLAG_DOCUMENT_3                 int64
FLAG_DOCUMENT_4                 int64
FLAG_DOCUMENT_5                 int64
FLAG_DOCUMENT_6                 int64
FLAG_DOCUMENT_7                 int64
FLAG_DOCUMENT_8                 int64
FLAG_DOCUMENT_9                 int64
FLAG_DOCUMENT_10                int64
FLAG_DOCUMENT_11                int64
FLAG_DOCUMENT_12                int64
FLAG_DOCUMENT_13                int64
FLAG_DOCUMENT_14                int64
FLAG_DOCUMENT_15                int64
FLAG_DOCUMENT_16                int64
FLAG_DOCUMENT_17                int64
FLAG_DOCUMENT_18                int64
FLAG_DOCUMENT_19                int64
FLAG_DOCUMENT_20                int64
FLAG_DOCUMENT_21                int64
AMT_REQ_CREDIT_BUREAU_HOUR      float64
AMT_REQ_CREDIT_BUREAU_DAY       float64
AMT_REQ_CREDIT_BUREAU_WEEK      float64
AMT_REQ_CREDIT_BUREAU_MON       float64
AMT_REQ_CREDIT_BUREAU_QRT       float64
AMT_REQ_CREDIT_BUREAU_YEAR      float64
dtypes: float64(65), int64(41), object(16)
memory usage: 286.2+ MB
In [103]:
### Lets check the descriptive statistics of the dataframe i.e. out of 122 columns we should have 106 columns for statistics info
app.describe()
Out[103]:
SK_ID_CURR TARGET CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 APARTMENTS_AVG BASEMENTAREA_AVG YEARS_BEGINEXPLUATATION_AVG YEARS_BUILD_AVG COMMONAREA_AVG ELEVATORS_AVG ENTRANCES_AVG FLOORSMAX_AVG FLOORSMIN_AVG LANDAREA_AVG LIVINGAPARTMENTS_AVG LIVINGAREA_AVG NONLIVINGAPARTMENTS_AVG NONLIVINGAREA_AVG APARTMENTS_MODE BASEMENTAREA_MODE YEARS_BEGINEXPLUATATION_MODE YEARS_BUILD_MODE COMMONAREA_MODE ELEVATORS_MODE ENTRANCES_MODE FLOORSMAX_MODE FLOORSMIN_MODE LANDAREA_MODE LIVINGAPARTMENTS_MODE LIVINGAREA_MODE NONLIVINGAPARTMENTS_MODE NONLIVINGAREA_MODE APARTMENTS_MEDI BASEMENTAREA_MEDI YEARS_BEGINEXPLUATATION_MEDI YEARS_BUILD_MEDI COMMONAREA_MEDI ELEVATORS_MEDI ENTRANCES_MEDI FLOORSMAX_MEDI FLOORSMIN_MEDI LANDAREA_MEDI LIVINGAPARTMENTS_MEDI LIVINGAREA_MEDI NONLIVINGAPARTMENTS_MEDI NONLIVINGAREA_MEDI TOTALAREA_MODE OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
count 307511.000000 307511.000000 307511.000000 3.075110e+05 3.075110e+05 307499.000000 3.072330e+05 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 104582.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307509.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 134133.000000 3.068510e+05 246546.000000 151450.00000 127568.000000 157504.000000 103023.000000 92646.000000 143620.000000 152683.000000 154491.000000 98869.000000 124921.000000 97312.000000 153161.000000 93997.000000 137829.000000 151450.000000 127568.000000 157504.000000 103023.000000 92646.000000 143620.000000 152683.000000 154491.000000 98869.000000 124921.000000 97312.000000 153161.000000 93997.000000 137829.000000 151450.000000 127568.000000 157504.000000 103023.000000 92646.000000 143620.000000 152683.000000 154491.000000 98869.000000 124921.000000 97312.000000 153161.000000 93997.000000 137829.000000 159080.000000 306490.000000 306490.000000 306490.000000 306490.000000 307510.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.00000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 307511.000000 265992.000000 265992.000000 265992.000000 265992.000000 265992.000000 265992.000000
mean 278180.518577 0.080729 0.417052 1.687979e+05 5.990260e+05 27108.573909 5.383962e+05 0.020868 -16036.995067 63815.045904 -4986.120328 -2994.202373 12.061091 0.999997 0.819889 0.199368 0.998133 0.281066 0.056720 2.152665 2.052463 2.031521 12.063419 0.015144 0.050769 0.040659 0.078173 0.230454 0.179555 0.502130 5.143927e-01 0.510853 0.11744 0.088442 0.977735 0.752471 0.044621 0.078942 0.149725 0.226282 0.231894 0.066333 0.100775 0.107399 0.008809 0.028358 0.114231 0.087543 0.977065 0.759637 0.042553 0.074490 0.145193 0.222315 0.228058 0.064958 0.105645 0.105975 0.008076 0.027022 0.117850 0.087955 0.977752 0.755746 0.044595 0.078078 0.149213 0.225897 0.231625 0.067169 0.101954 0.108607 0.008651 0.028236 0.102547 1.422245 0.143421 1.405292 0.100049 -962.858788 0.000042 0.710023 0.000081 0.015115 0.088055 0.000192 0.081376 0.003896 0.000023 0.003912 0.000007 0.003525 0.002936 0.00121 0.009928 0.000267 0.008130 0.000595 0.000507 0.000335 0.006402 0.007000 0.034362 0.267395 0.265474 1.899974
std 102790.175348 0.272419 0.722121 2.371231e+05 4.024908e+05 14493.737315 3.694465e+05 0.013831 4363.988632 141275.766519 3522.886321 1509.450419 11.944812 0.001803 0.384280 0.399526 0.043164 0.449521 0.231307 0.910682 0.509034 0.502737 3.265832 0.122126 0.219526 0.197499 0.268444 0.421124 0.383817 0.211062 1.910602e-01 0.194844 0.10824 0.082438 0.059223 0.113280 0.076036 0.134576 0.100049 0.144641 0.161380 0.081184 0.092576 0.110565 0.047732 0.069523 0.107936 0.084307 0.064575 0.110111 0.074445 0.132256 0.100977 0.143709 0.161160 0.081750 0.097880 0.111845 0.046276 0.070254 0.109076 0.082179 0.059897 0.112066 0.076144 0.134467 0.100368 0.145067 0.161934 0.082167 0.093642 0.112260 0.047415 0.070166 0.107462 2.400989 0.446698 2.379803 0.362291 826.808487 0.006502 0.453752 0.009016 0.122010 0.283376 0.013850 0.273412 0.062295 0.004771 0.062424 0.002550 0.059268 0.054110 0.03476 0.099144 0.016327 0.089798 0.024387 0.022518 0.018299 0.083849 0.110757 0.204685 0.916002 0.794056 1.869295
min 100002.000000 0.000000 0.000000 2.565000e+04 4.500000e+04 1615.500000 4.050000e+04 0.000290 -25229.000000 -17912.000000 -24672.000000 -7197.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 1.000000 1.000000 1.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.014568 8.173617e-08 0.000527 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 -4292.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
25% 189145.500000 0.000000 0.000000 1.125000e+05 2.700000e+05 16524.000000 2.385000e+05 0.010006 -19682.000000 -2760.000000 -7479.500000 -4299.000000 5.000000 1.000000 1.000000 0.000000 1.000000 0.000000 0.000000 2.000000 2.000000 2.000000 10.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.334007 3.924574e-01 0.370650 0.05770 0.044200 0.976700 0.687200 0.007800 0.000000 0.069000 0.166700 0.083300 0.018700 0.050400 0.045300 0.000000 0.000000 0.052500 0.040700 0.976700 0.699400 0.007200 0.000000 0.069000 0.166700 0.083300 0.016600 0.054200 0.042700 0.000000 0.000000 0.058300 0.043700 0.976700 0.691400 0.007900 0.000000 0.069000 0.166700 0.083300 0.018700 0.051300 0.045700 0.000000 0.000000 0.041200 0.000000 0.000000 0.000000 0.000000 -1570.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
50% 278202.000000 0.000000 0.000000 1.471500e+05 5.135310e+05 24903.000000 4.500000e+05 0.018850 -15750.000000 -1213.000000 -4504.000000 -3254.000000 9.000000 1.000000 1.000000 0.000000 1.000000 0.000000 0.000000 2.000000 2.000000 2.000000 12.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.505998 5.659614e-01 0.535276 0.08760 0.076300 0.981600 0.755200 0.021100 0.000000 0.137900 0.166700 0.208300 0.048100 0.075600 0.074500 0.000000 0.003600 0.084000 0.074600 0.981600 0.764800 0.019000 0.000000 0.137900 0.166700 0.208300 0.045800 0.077100 0.073100 0.000000 0.001100 0.086400 0.075800 0.981600 0.758500 0.020800 0.000000 0.137900 0.166700 0.208300 0.048700 0.076100 0.074900 0.000000 0.003100 0.068800 0.000000 0.000000 0.000000 0.000000 -757.000000 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 1.000000
75% 367142.500000 0.000000 1.000000 2.025000e+05 8.086500e+05 34596.000000 6.795000e+05 0.028663 -12413.000000 -289.000000 -2010.000000 -1720.000000 15.000000 1.000000 1.000000 0.000000 1.000000 1.000000 0.000000 3.000000 2.000000 2.000000 14.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.675053 6.636171e-01 0.669057 0.14850 0.112200 0.986600 0.823200 0.051500 0.120000 0.206900 0.333300 0.375000 0.085600 0.121000 0.129900 0.003900 0.027700 0.143900 0.112400 0.986600 0.823600 0.049000 0.120800 0.206900 0.333300 0.375000 0.084100 0.131300 0.125200 0.003900 0.023100 0.148900 0.111600 0.986600 0.825600 0.051300 0.120000 0.206900 0.333300 0.375000 0.086800 0.123100 0.130300 0.003900 0.026600 0.127600 2.000000 0.000000 2.000000 0.000000 -274.000000 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 3.000000
max 456255.000000 1.000000 19.000000 1.170000e+08 4.050000e+06 258025.500000 4.050000e+06 0.072508 -7489.000000 365243.000000 0.000000 0.000000 91.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 20.000000 3.000000 3.000000 23.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 0.962693 8.549997e-01 0.896010 1.00000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 348.000000 34.000000 344.000000 24.000000 0.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.00000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 4.000000 9.000000 8.000000 27.000000 261.000000 25.000000

Based on the data information, we have a glance of data type, info and typical statistic info, next step is to clean the data and choose columns of interest further to analyze the data

In [104]:
## Checking on missing values percentage 
null_per = app.isnull().sum()/len(app)*100
null_per
Out[104]:
SK_ID_CURR                       0.000000
TARGET                           0.000000
NAME_CONTRACT_TYPE               0.000000
CODE_GENDER                      0.000000
FLAG_OWN_CAR                     0.000000
FLAG_OWN_REALTY                  0.000000
CNT_CHILDREN                     0.000000
AMT_INCOME_TOTAL                 0.000000
AMT_CREDIT                       0.000000
AMT_ANNUITY                      0.003902
AMT_GOODS_PRICE                  0.090403
NAME_TYPE_SUITE                  0.420148
NAME_INCOME_TYPE                 0.000000
NAME_EDUCATION_TYPE              0.000000
NAME_FAMILY_STATUS               0.000000
NAME_HOUSING_TYPE                0.000000
REGION_POPULATION_RELATIVE       0.000000
DAYS_BIRTH                       0.000000
DAYS_EMPLOYED                    0.000000
DAYS_REGISTRATION                0.000000
DAYS_ID_PUBLISH                  0.000000
OWN_CAR_AGE                     65.990810
FLAG_MOBIL                       0.000000
FLAG_EMP_PHONE                   0.000000
FLAG_WORK_PHONE                  0.000000
FLAG_CONT_MOBILE                 0.000000
FLAG_PHONE                       0.000000
FLAG_EMAIL                       0.000000
OCCUPATION_TYPE                 31.345545
CNT_FAM_MEMBERS                  0.000650
REGION_RATING_CLIENT             0.000000
REGION_RATING_CLIENT_W_CITY      0.000000
WEEKDAY_APPR_PROCESS_START       0.000000
HOUR_APPR_PROCESS_START          0.000000
REG_REGION_NOT_LIVE_REGION       0.000000
REG_REGION_NOT_WORK_REGION       0.000000
LIVE_REGION_NOT_WORK_REGION      0.000000
REG_CITY_NOT_LIVE_CITY           0.000000
REG_CITY_NOT_WORK_CITY           0.000000
LIVE_CITY_NOT_WORK_CITY          0.000000
ORGANIZATION_TYPE                0.000000
EXT_SOURCE_1                    56.381073
EXT_SOURCE_2                     0.214626
EXT_SOURCE_3                    19.825307
APARTMENTS_AVG                  50.749729
BASEMENTAREA_AVG                58.515956
YEARS_BEGINEXPLUATATION_AVG     48.781019
YEARS_BUILD_AVG                 66.497784
COMMONAREA_AVG                  69.872297
ELEVATORS_AVG                   53.295980
ENTRANCES_AVG                   50.348768
FLOORSMAX_AVG                   49.760822
FLOORSMIN_AVG                   67.848630
LANDAREA_AVG                    59.376738
LIVINGAPARTMENTS_AVG            68.354953
LIVINGAREA_AVG                  50.193326
NONLIVINGAPARTMENTS_AVG         69.432963
NONLIVINGAREA_AVG               55.179164
APARTMENTS_MODE                 50.749729
BASEMENTAREA_MODE               58.515956
YEARS_BEGINEXPLUATATION_MODE    48.781019
YEARS_BUILD_MODE                66.497784
COMMONAREA_MODE                 69.872297
ELEVATORS_MODE                  53.295980
ENTRANCES_MODE                  50.348768
FLOORSMAX_MODE                  49.760822
FLOORSMIN_MODE                  67.848630
LANDAREA_MODE                   59.376738
LIVINGAPARTMENTS_MODE           68.354953
LIVINGAREA_MODE                 50.193326
NONLIVINGAPARTMENTS_MODE        69.432963
NONLIVINGAREA_MODE              55.179164
APARTMENTS_MEDI                 50.749729
BASEMENTAREA_MEDI               58.515956
YEARS_BEGINEXPLUATATION_MEDI    48.781019
YEARS_BUILD_MEDI                66.497784
COMMONAREA_MEDI                 69.872297
ELEVATORS_MEDI                  53.295980
ENTRANCES_MEDI                  50.348768
FLOORSMAX_MEDI                  49.760822
FLOORSMIN_MEDI                  67.848630
LANDAREA_MEDI                   59.376738
LIVINGAPARTMENTS_MEDI           68.354953
LIVINGAREA_MEDI                 50.193326
NONLIVINGAPARTMENTS_MEDI        69.432963
NONLIVINGAREA_MEDI              55.179164
FONDKAPREMONT_MODE              68.386172
HOUSETYPE_MODE                  50.176091
TOTALAREA_MODE                  48.268517
WALLSMATERIAL_MODE              50.840783
EMERGENCYSTATE_MODE             47.398304
OBS_30_CNT_SOCIAL_CIRCLE         0.332021
DEF_30_CNT_SOCIAL_CIRCLE         0.332021
OBS_60_CNT_SOCIAL_CIRCLE         0.332021
DEF_60_CNT_SOCIAL_CIRCLE         0.332021
DAYS_LAST_PHONE_CHANGE           0.000325
FLAG_DOCUMENT_2                  0.000000
FLAG_DOCUMENT_3                  0.000000
FLAG_DOCUMENT_4                  0.000000
FLAG_DOCUMENT_5                  0.000000
FLAG_DOCUMENT_6                  0.000000
FLAG_DOCUMENT_7                  0.000000
FLAG_DOCUMENT_8                  0.000000
FLAG_DOCUMENT_9                  0.000000
FLAG_DOCUMENT_10                 0.000000
FLAG_DOCUMENT_11                 0.000000
FLAG_DOCUMENT_12                 0.000000
FLAG_DOCUMENT_13                 0.000000
FLAG_DOCUMENT_14                 0.000000
FLAG_DOCUMENT_15                 0.000000
FLAG_DOCUMENT_16                 0.000000
FLAG_DOCUMENT_17                 0.000000
FLAG_DOCUMENT_18                 0.000000
FLAG_DOCUMENT_19                 0.000000
FLAG_DOCUMENT_20                 0.000000
FLAG_DOCUMENT_21                 0.000000
AMT_REQ_CREDIT_BUREAU_HOUR      13.501631
AMT_REQ_CREDIT_BUREAU_DAY       13.501631
AMT_REQ_CREDIT_BUREAU_WEEK      13.501631
AMT_REQ_CREDIT_BUREAU_MON       13.501631
AMT_REQ_CREDIT_BUREAU_QRT       13.501631
AMT_REQ_CREDIT_BUREAU_YEAR      13.501631
dtype: float64
In [105]:
### As we are unable to check on all the rows and columns, we will change the settings in pandas
pd.set_option('display.max_columns', 400)
pd.set_option('display.max_rows', 400)
In [106]:
null_per = app.isnull().sum()/len(app)*100
null_per
Out[106]:
SK_ID_CURR                       0.000000
TARGET                           0.000000
NAME_CONTRACT_TYPE               0.000000
CODE_GENDER                      0.000000
FLAG_OWN_CAR                     0.000000
FLAG_OWN_REALTY                  0.000000
CNT_CHILDREN                     0.000000
AMT_INCOME_TOTAL                 0.000000
AMT_CREDIT                       0.000000
AMT_ANNUITY                      0.003902
AMT_GOODS_PRICE                  0.090403
NAME_TYPE_SUITE                  0.420148
NAME_INCOME_TYPE                 0.000000
NAME_EDUCATION_TYPE              0.000000
NAME_FAMILY_STATUS               0.000000
NAME_HOUSING_TYPE                0.000000
REGION_POPULATION_RELATIVE       0.000000
DAYS_BIRTH                       0.000000
DAYS_EMPLOYED                    0.000000
DAYS_REGISTRATION                0.000000
DAYS_ID_PUBLISH                  0.000000
OWN_CAR_AGE                     65.990810
FLAG_MOBIL                       0.000000
FLAG_EMP_PHONE                   0.000000
FLAG_WORK_PHONE                  0.000000
FLAG_CONT_MOBILE                 0.000000
FLAG_PHONE                       0.000000
FLAG_EMAIL                       0.000000
OCCUPATION_TYPE                 31.345545
CNT_FAM_MEMBERS                  0.000650
REGION_RATING_CLIENT             0.000000
REGION_RATING_CLIENT_W_CITY      0.000000
WEEKDAY_APPR_PROCESS_START       0.000000
HOUR_APPR_PROCESS_START          0.000000
REG_REGION_NOT_LIVE_REGION       0.000000
REG_REGION_NOT_WORK_REGION       0.000000
LIVE_REGION_NOT_WORK_REGION      0.000000
REG_CITY_NOT_LIVE_CITY           0.000000
REG_CITY_NOT_WORK_CITY           0.000000
LIVE_CITY_NOT_WORK_CITY          0.000000
ORGANIZATION_TYPE                0.000000
EXT_SOURCE_1                    56.381073
EXT_SOURCE_2                     0.214626
EXT_SOURCE_3                    19.825307
APARTMENTS_AVG                  50.749729
BASEMENTAREA_AVG                58.515956
YEARS_BEGINEXPLUATATION_AVG     48.781019
YEARS_BUILD_AVG                 66.497784
COMMONAREA_AVG                  69.872297
ELEVATORS_AVG                   53.295980
ENTRANCES_AVG                   50.348768
FLOORSMAX_AVG                   49.760822
FLOORSMIN_AVG                   67.848630
LANDAREA_AVG                    59.376738
LIVINGAPARTMENTS_AVG            68.354953
LIVINGAREA_AVG                  50.193326
NONLIVINGAPARTMENTS_AVG         69.432963
NONLIVINGAREA_AVG               55.179164
APARTMENTS_MODE                 50.749729
BASEMENTAREA_MODE               58.515956
YEARS_BEGINEXPLUATATION_MODE    48.781019
YEARS_BUILD_MODE                66.497784
COMMONAREA_MODE                 69.872297
ELEVATORS_MODE                  53.295980
ENTRANCES_MODE                  50.348768
FLOORSMAX_MODE                  49.760822
FLOORSMIN_MODE                  67.848630
LANDAREA_MODE                   59.376738
LIVINGAPARTMENTS_MODE           68.354953
LIVINGAREA_MODE                 50.193326
NONLIVINGAPARTMENTS_MODE        69.432963
NONLIVINGAREA_MODE              55.179164
APARTMENTS_MEDI                 50.749729
BASEMENTAREA_MEDI               58.515956
YEARS_BEGINEXPLUATATION_MEDI    48.781019
YEARS_BUILD_MEDI                66.497784
COMMONAREA_MEDI                 69.872297
ELEVATORS_MEDI                  53.295980
ENTRANCES_MEDI                  50.348768
FLOORSMAX_MEDI                  49.760822
FLOORSMIN_MEDI                  67.848630
LANDAREA_MEDI                   59.376738
LIVINGAPARTMENTS_MEDI           68.354953
LIVINGAREA_MEDI                 50.193326
NONLIVINGAPARTMENTS_MEDI        69.432963
NONLIVINGAREA_MEDI              55.179164
FONDKAPREMONT_MODE              68.386172
HOUSETYPE_MODE                  50.176091
TOTALAREA_MODE                  48.268517
WALLSMATERIAL_MODE              50.840783
EMERGENCYSTATE_MODE             47.398304
OBS_30_CNT_SOCIAL_CIRCLE         0.332021
DEF_30_CNT_SOCIAL_CIRCLE         0.332021
OBS_60_CNT_SOCIAL_CIRCLE         0.332021
DEF_60_CNT_SOCIAL_CIRCLE         0.332021
DAYS_LAST_PHONE_CHANGE           0.000325
FLAG_DOCUMENT_2                  0.000000
FLAG_DOCUMENT_3                  0.000000
FLAG_DOCUMENT_4                  0.000000
FLAG_DOCUMENT_5                  0.000000
FLAG_DOCUMENT_6                  0.000000
FLAG_DOCUMENT_7                  0.000000
FLAG_DOCUMENT_8                  0.000000
FLAG_DOCUMENT_9                  0.000000
FLAG_DOCUMENT_10                 0.000000
FLAG_DOCUMENT_11                 0.000000
FLAG_DOCUMENT_12                 0.000000
FLAG_DOCUMENT_13                 0.000000
FLAG_DOCUMENT_14                 0.000000
FLAG_DOCUMENT_15                 0.000000
FLAG_DOCUMENT_16                 0.000000
FLAG_DOCUMENT_17                 0.000000
FLAG_DOCUMENT_18                 0.000000
FLAG_DOCUMENT_19                 0.000000
FLAG_DOCUMENT_20                 0.000000
FLAG_DOCUMENT_21                 0.000000
AMT_REQ_CREDIT_BUREAU_HOUR      13.501631
AMT_REQ_CREDIT_BUREAU_DAY       13.501631
AMT_REQ_CREDIT_BUREAU_WEEK      13.501631
AMT_REQ_CREDIT_BUREAU_MON       13.501631
AMT_REQ_CREDIT_BUREAU_QRT       13.501631
AMT_REQ_CREDIT_BUREAU_YEAR      13.501631
dtype: float64
In [107]:
app.columns.get_loc("APARTMENTS_AVG"), app.columns.get_loc("EMERGENCYSTATE_MODE")
Out[107]:
(44, 90)

As the living apartment space and parameters has no direct relationship for loan application process and columns are having lot of missing entries > 40%, we can drop those columns from 44 to 90 indexes

Dropping the columns from 44 to 90

In [108]:
app.drop(app.iloc[:,44:91].columns, axis =1, inplace = True)
app.shape
Out[108]:
(307511, 75)
In [109]:
### Lets check the missing value entries
app.isnull().sum()/len(app)*100
Out[109]:
SK_ID_CURR                      0.000000
TARGET                          0.000000
NAME_CONTRACT_TYPE              0.000000
CODE_GENDER                     0.000000
FLAG_OWN_CAR                    0.000000
FLAG_OWN_REALTY                 0.000000
CNT_CHILDREN                    0.000000
AMT_INCOME_TOTAL                0.000000
AMT_CREDIT                      0.000000
AMT_ANNUITY                     0.003902
AMT_GOODS_PRICE                 0.090403
NAME_TYPE_SUITE                 0.420148
NAME_INCOME_TYPE                0.000000
NAME_EDUCATION_TYPE             0.000000
NAME_FAMILY_STATUS              0.000000
NAME_HOUSING_TYPE               0.000000
REGION_POPULATION_RELATIVE      0.000000
DAYS_BIRTH                      0.000000
DAYS_EMPLOYED                   0.000000
DAYS_REGISTRATION               0.000000
DAYS_ID_PUBLISH                 0.000000
OWN_CAR_AGE                    65.990810
FLAG_MOBIL                      0.000000
FLAG_EMP_PHONE                  0.000000
FLAG_WORK_PHONE                 0.000000
FLAG_CONT_MOBILE                0.000000
FLAG_PHONE                      0.000000
FLAG_EMAIL                      0.000000
OCCUPATION_TYPE                31.345545
CNT_FAM_MEMBERS                 0.000650
REGION_RATING_CLIENT            0.000000
REGION_RATING_CLIENT_W_CITY     0.000000
WEEKDAY_APPR_PROCESS_START      0.000000
HOUR_APPR_PROCESS_START         0.000000
REG_REGION_NOT_LIVE_REGION      0.000000
REG_REGION_NOT_WORK_REGION      0.000000
LIVE_REGION_NOT_WORK_REGION     0.000000
REG_CITY_NOT_LIVE_CITY          0.000000
REG_CITY_NOT_WORK_CITY          0.000000
LIVE_CITY_NOT_WORK_CITY         0.000000
ORGANIZATION_TYPE               0.000000
EXT_SOURCE_1                   56.381073
EXT_SOURCE_2                    0.214626
EXT_SOURCE_3                   19.825307
OBS_30_CNT_SOCIAL_CIRCLE        0.332021
DEF_30_CNT_SOCIAL_CIRCLE        0.332021
OBS_60_CNT_SOCIAL_CIRCLE        0.332021
DEF_60_CNT_SOCIAL_CIRCLE        0.332021
DAYS_LAST_PHONE_CHANGE          0.000325
FLAG_DOCUMENT_2                 0.000000
FLAG_DOCUMENT_3                 0.000000
FLAG_DOCUMENT_4                 0.000000
FLAG_DOCUMENT_5                 0.000000
FLAG_DOCUMENT_6                 0.000000
FLAG_DOCUMENT_7                 0.000000
FLAG_DOCUMENT_8                 0.000000
FLAG_DOCUMENT_9                 0.000000
FLAG_DOCUMENT_10                0.000000
FLAG_DOCUMENT_11                0.000000
FLAG_DOCUMENT_12                0.000000
FLAG_DOCUMENT_13                0.000000
FLAG_DOCUMENT_14                0.000000
FLAG_DOCUMENT_15                0.000000
FLAG_DOCUMENT_16                0.000000
FLAG_DOCUMENT_17                0.000000
FLAG_DOCUMENT_18                0.000000
FLAG_DOCUMENT_19                0.000000
FLAG_DOCUMENT_20                0.000000
FLAG_DOCUMENT_21                0.000000
AMT_REQ_CREDIT_BUREAU_HOUR     13.501631
AMT_REQ_CREDIT_BUREAU_DAY      13.501631
AMT_REQ_CREDIT_BUREAU_WEEK     13.501631
AMT_REQ_CREDIT_BUREAU_MON      13.501631
AMT_REQ_CREDIT_BUREAU_QRT      13.501631
AMT_REQ_CREDIT_BUREAU_YEAR     13.501631
dtype: float64
In [110]:
### Lets only check the columns names with missing entries using isna() and any()
app.columns[app.isna().any()]
Out[110]:
Index(['AMT_ANNUITY', 'AMT_GOODS_PRICE', 'NAME_TYPE_SUITE', 'OWN_CAR_AGE',
       'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS', 'EXT_SOURCE_1', 'EXT_SOURCE_2',
       'EXT_SOURCE_3', 'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
       'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
       'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR',
       'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
       'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
       'AMT_REQ_CREDIT_BUREAU_YEAR'],
      dtype='object')
In [46]:
app[app.columns[app.isna().any()]]
Out[46]:
AMT_ANNUITY AMT_GOODS_PRICE NAME_TYPE_SUITE OWN_CAR_AGE OCCUPATION_TYPE CNT_FAM_MEMBERS EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
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1 35698.5 1129500.0 Family NaN Core staff 2.0 0.311267 0.622246 NaN 1.0 0.0 1.0 0.0 -828.0 0.0 0.0 0.0 0.0 0.0 0.0
2 6750.0 135000.0 Unaccompanied 26.0 Laborers 1.0 NaN 0.555912 0.729567 0.0 0.0 0.0 0.0 -815.0 0.0 0.0 0.0 0.0 0.0 0.0
3 29686.5 297000.0 Unaccompanied NaN Laborers 2.0 NaN 0.650442 NaN 2.0 0.0 2.0 0.0 -617.0 NaN NaN NaN NaN NaN NaN
4 21865.5 513000.0 Unaccompanied NaN Core staff 1.0 NaN 0.322738 NaN 0.0 0.0 0.0 0.0 -1106.0 0.0 0.0 0.0 0.0 0.0 0.0
5 27517.5 454500.0 Spouse, partner NaN Laborers 2.0 NaN 0.354225 0.621226 0.0 0.0 0.0 0.0 -2536.0 0.0 0.0 0.0 0.0 1.0 1.0
6 41301.0 1395000.0 Unaccompanied 17.0 Accountants 3.0 0.774761 0.724000 0.492060 1.0 0.0 1.0 0.0 -1562.0 0.0 0.0 0.0 1.0 1.0 2.0
7 42075.0 1530000.0 Unaccompanied 8.0 Managers 2.0 NaN 0.714279 0.540654 2.0 0.0 2.0 0.0 -1070.0 0.0 0.0 0.0 0.0 0.0 0.0
8 33826.5 913500.0 Children NaN NaN 2.0 0.587334 0.205747 0.751724 1.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0
9 20250.0 405000.0 Unaccompanied NaN Laborers 1.0 NaN 0.746644 NaN 2.0 0.0 2.0 0.0 -1673.0 NaN NaN NaN NaN NaN NaN
10 21177.0 652500.0 Unaccompanied NaN Core staff 3.0 0.319760 0.651862 0.363945 0.0 0.0 0.0 0.0 -844.0 0.0 0.0 0.0 1.0 0.0 0.0
11 10678.5 135000.0 Children NaN NaN 2.0 0.722044 0.555183 0.652897 0.0 0.0 0.0 0.0 -2396.0 0.0 0.0 0.0 0.0 0.0 2.0
12 5881.5 67500.0 Unaccompanied NaN Laborers 2.0 0.464831 0.715042 0.176653 0.0 0.0 0.0 0.0 -2370.0 0.0 0.0 0.0 1.0 0.0 0.0
13 28966.5 697500.0 Unaccompanied 23.0 Drivers 3.0 NaN 0.566907 0.770087 0.0 0.0 0.0 0.0 -4.0 0.0 0.0 0.0 0.0 0.0 1.0
14 32778.0 679500.0 Unaccompanied NaN Laborers 2.0 0.721940 0.642656 NaN 0.0 0.0 0.0 0.0 -188.0 NaN NaN NaN NaN NaN NaN
15 20160.0 247500.0 Family 17.0 Laborers 1.0 0.115634 0.346634 0.678568 0.0 0.0 0.0 0.0 -925.0 0.0 0.0 0.0 0.0 0.0 1.0
16 26149.5 387000.0 Unaccompanied NaN Drivers 2.0 NaN 0.236378 0.062103 0.0 0.0 0.0 0.0 -3.0 0.0 0.0 0.0 0.0 1.0 0.0
17 13500.0 270000.0 Unaccompanied NaN Laborers 3.0 NaN 0.683513 NaN 4.0 0.0 4.0 0.0 -2811.0 NaN NaN NaN NaN NaN NaN
18 7875.0 157500.0 Other_A NaN Laborers 1.0 NaN 0.706428 0.556727 8.0 0.0 8.0 0.0 -239.0 0.0 0.0 0.0 0.0 0.0 0.0
19 17563.5 454500.0 Unaccompanied NaN Core staff 2.0 NaN 0.586617 0.477649 0.0 0.0 0.0 0.0 -1850.0 0.0 0.0 0.0 0.0 0.0 2.0
20 21375.0 427500.0 Unaccompanied 7.0 Laborers 2.0 0.565655 0.113375 NaN 0.0 0.0 0.0 0.0 -296.0 NaN NaN NaN NaN NaN NaN
21 37561.5 927000.0 Unaccompanied 14.0 Sales staff 3.0 0.437709 0.233767 0.542445 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 4.0
22 32521.5 450000.0 Unaccompanied NaN Sales staff 3.0 NaN 0.457143 0.358951 0.0 0.0 0.0 0.0 -468.0 0.0 0.0 0.0 0.0 0.0 5.0
23 23850.0 225000.0 Unaccompanied NaN NaN 2.0 NaN 0.624305 0.669057 0.0 0.0 0.0 0.0 -795.0 0.0 0.0 0.0 0.0 0.0 3.0
24 12703.5 247500.0 Unaccompanied 7.0 Drivers 4.0 NaN 0.786179 0.565608 1.0 1.0 1.0 0.0 -4.0 0.0 0.0 0.0 0.0 0.0 0.0
25 11074.5 225000.0 Unaccompanied NaN Cleaning staff 2.0 0.561948 0.651406 0.461482 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
26 27076.5 702000.0 Unaccompanied NaN Cooking staff 1.0 NaN 0.548477 0.190706 10.0 1.0 10.0 0.0 -161.0 0.0 0.0 0.0 0.0 2.0 2.0
27 23827.5 270000.0 Family NaN Laborers 3.0 NaN 0.541124 0.659406 2.0 0.0 2.0 0.0 -2.0 0.0 0.0 0.0 0.0 0.0 0.0
28 57676.5 675000.0 Unaccompanied 1.0 NaN 1.0 0.600396 0.685011 0.524496 0.0 0.0 0.0 0.0 -849.0 0.0 0.0 0.0 1.0 0.0 1.0
29 9000.0 180000.0 Unaccompanied NaN Laborers 1.0 0.297914 0.502779 NaN 0.0 0.0 0.0 0.0 -599.0 NaN NaN NaN NaN NaN NaN
30 24592.5 477000.0 Unaccompanied NaN NaN 2.0 NaN 0.479987 0.410103 0.0 0.0 0.0 0.0 -1634.0 0.0 0.0 0.0 1.0 0.0 5.0
31 25033.5 360000.0 Family NaN Private service staff 2.0 0.274422 0.627300 NaN 2.0 0.0 2.0 0.0 -397.0 0.0 0.0 0.0 0.0 2.0 5.0
32 20893.5 180000.0 Unaccompanied NaN Laborers 2.0 NaN 0.559467 0.798137 0.0 0.0 0.0 0.0 -2766.0 0.0 0.0 0.0 0.0 0.0 2.0
33 39069.0 679500.0 Unaccompanied 3.0 Drivers 3.0 NaN 0.321745 0.411849 2.0 0.0 2.0 0.0 -697.0 0.0 0.0 0.0 0.0 1.0 1.0
34 32895.0 1125000.0 Unaccompanied NaN Core staff 2.0 NaN 0.172498 NaN 0.0 0.0 0.0 0.0 -3019.0 NaN NaN NaN NaN NaN NaN
35 44509.5 450000.0 Unaccompanied NaN Sales staff 2.0 NaN 0.663158 0.678568 0.0 0.0 0.0 0.0 -1285.0 0.0 0.0 0.0 0.0 0.0 0.0
36 23157.0 553500.0 Unaccompanied NaN Private service staff 4.0 0.842763 0.681699 0.754406 0.0 0.0 0.0 0.0 -2411.0 0.0 0.0 0.0 0.0 1.0 1.0
37 15151.5 454500.0 Unaccompanied NaN Drivers 2.0 0.804586 0.719799 0.722393 0.0 0.0 0.0 0.0 -1541.0 0.0 0.0 0.0 1.0 0.0 0.0
38 17338.5 225000.0 Unaccompanied NaN NaN 2.0 NaN 0.650765 0.751724 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0
39 27000.0 540000.0 Unaccompanied 3.0 Managers 2.0 NaN 0.738053 0.605836 1.0 0.0 1.0 0.0 -540.0 0.0 0.0 0.0 1.0 0.0 1.0
40 35028.0 855000.0 Unaccompanied NaN Laborers 2.0 NaN 0.306841 0.320163 0.0 0.0 0.0 0.0 -1075.0 0.0 0.0 0.0 2.0 0.0 4.0
41 29196.0 540000.0 Unaccompanied NaN Laborers 2.0 NaN 0.037315 NaN 4.0 0.0 4.0 0.0 -458.0 0.0 0.0 0.0 0.0 0.0 5.0
42 16258.5 238500.0 Unaccompanied NaN Sales staff 2.0 0.468208 0.674203 0.399676 1.0 0.0 1.0 0.0 -1480.0 0.0 0.0 0.0 0.0 0.0 2.0
43 42970.5 675000.0 Unaccompanied NaN NaN 1.0 NaN 0.766138 0.684828 0.0 0.0 0.0 0.0 -491.0 0.0 0.0 0.0 0.0 0.0 3.0
44 48280.5 598500.0 Unaccompanied NaN NaN 2.0 NaN 0.631519 NaN 1.0 0.0 1.0 0.0 -556.0 NaN NaN NaN NaN NaN NaN
45 9000.0 180000.0 Family NaN Sales staff 3.0 NaN 0.535542 NaN 1.0 1.0 1.0 1.0 -462.0 NaN NaN NaN NaN NaN NaN
46 17649.0 252000.0 Family NaN NaN 1.0 NaN 0.247665 0.475850 0.0 0.0 0.0 0.0 -649.0 0.0 0.0 0.0 0.0 2.0 4.0
47 26838.0 225000.0 Unaccompanied NaN Medicine staff 2.0 NaN 0.089241 0.728141 4.0 0.0 4.0 0.0 -1247.0 0.0 0.0 0.0 0.0 0.0 2.0
48 37255.5 1350000.0 Unaccompanied NaN Managers 2.0 0.710427 0.589187 0.466864 0.0 0.0 0.0 0.0 -784.0 0.0 0.0 0.0 0.0 0.0 0.0
49 49927.5 1350000.0 Unaccompanied 3.0 Laborers 2.0 NaN 0.523934 NaN 1.0 1.0 1.0 1.0 -1498.0 NaN NaN NaN NaN NaN NaN
50 6750.0 135000.0 Unaccompanied NaN Core staff 2.0 0.656225 0.450850 0.479449 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
51 34596.0 675000.0 Unaccompanied 7.0 Managers 3.0 0.311510 0.713355 0.309275 2.0 0.0 2.0 0.0 -1285.0 0.0 0.0 1.0 0.0 0.0 3.0
52 14661.0 454500.0 Unaccompanied 13.0 NaN 2.0 0.244562 0.705947 0.799297 4.0 0.0 4.0 0.0 -466.0 0.0 0.0 0.0 1.0 0.0 0.0
53 16164.0 238500.0 Unaccompanied NaN Core staff 4.0 0.189596 0.702979 0.701696 0.0 0.0 0.0 0.0 -570.0 0.0 0.0 0.0 0.0 0.0 5.0
54 32472.0 675000.0 Unaccompanied 8.0 NaN 2.0 NaN 0.662865 0.738020 0.0 0.0 0.0 0.0 -462.0 0.0 0.0 0.0 0.0 0.0 2.0
55 45558.0 666000.0 Unaccompanied NaN Managers 2.0 0.552772 0.616637 0.070109 1.0 1.0 1.0 1.0 -1547.0 0.0 0.0 0.0 1.0 0.0 4.0
56 15381.0 202500.0 Family NaN NaN 1.0 NaN 0.622708 0.169429 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
57 12375.0 247500.0 Unaccompanied NaN Security staff 2.0 0.237720 0.609135 0.513694 2.0 0.0 2.0 0.0 -167.0 0.0 0.0 0.0 0.0 0.0 0.0
58 27265.5 517500.0 Unaccompanied 10.0 Laborers 2.0 NaN 0.256737 0.707699 0.0 0.0 0.0 0.0 -112.0 0.0 0.0 0.0 0.0 1.0 3.0
59 46899.0 1129500.0 Unaccompanied 2.0 Managers 1.0 NaN 0.653597 0.339288 0.0 0.0 0.0 0.0 -1377.0 0.0 0.0 0.0 0.0 0.0 0.0
60 86989.5 1588500.0 Family NaN Accountants 2.0 NaN 0.570666 0.697147 0.0 0.0 0.0 0.0 -1572.0 0.0 0.0 0.0 2.0 0.0 1.0
61 44118.0 1080000.0 Unaccompanied NaN Sales staff 1.0 NaN 0.026541 0.434733 0.0 0.0 0.0 0.0 -725.0 0.0 0.0 0.0 0.0 0.0 4.0
62 40189.5 810000.0 Unaccompanied 10.0 NaN 2.0 NaN 0.733051 0.234015 0.0 0.0 0.0 0.0 -2385.0 0.0 0.0 0.0 0.0 1.0 1.0
63 10462.5 90000.0 Family NaN NaN 1.0 0.299606 0.664544 0.492060 0.0 0.0 0.0 0.0 -280.0 0.0 0.0 0.0 0.0 0.0 5.0
64 9679.5 315000.0 NaN 1.0 Drivers 2.0 NaN 0.584887 0.095070 0.0 0.0 0.0 0.0 -3.0 0.0 0.0 0.0 0.0 0.0 0.0
65 40657.5 900000.0 Unaccompanied NaN Core staff 1.0 0.286783 0.647348 0.562060 4.0 0.0 4.0 0.0 -295.0 0.0 0.0 0.0 0.0 0.0 8.0
66 43983.0 1035000.0 Unaccompanied 21.0 Core staff 2.0 0.796161 0.517270 0.429424 0.0 0.0 0.0 0.0 -1594.0 0.0 0.0 0.0 0.0 0.0 3.0
67 13500.0 270000.0 Unaccompanied NaN Laborers 1.0 0.202477 0.561923 0.413597 0.0 0.0 0.0 0.0 -662.0 0.0 0.0 0.0 1.0 0.0 0.0
68 22500.0 450000.0 Unaccompanied NaN Sales staff 3.0 0.411506 0.123888 0.832785 NaN NaN NaN NaN -1711.0 0.0 0.0 0.0 0.0 0.0 5.0
69 21109.5 450000.0 Unaccompanied 20.0 Laborers 2.0 NaN 0.645438 NaN 1.0 0.0 1.0 0.0 -2519.0 NaN NaN NaN NaN NaN NaN
70 21109.5 450000.0 Unaccompanied NaN Laborers 4.0 0.357707 0.686505 0.394495 0.0 0.0 0.0 0.0 -1003.0 0.0 0.0 0.0 1.0 0.0 2.0
71 24435.0 463500.0 Unaccompanied 22.0 Laborers 2.0 0.270766 0.707126 0.597192 2.0 1.0 2.0 1.0 -2053.0 0.0 0.0 0.0 0.0 0.0 3.0
72 26140.5 459000.0 Unaccompanied NaN Laborers 3.0 NaN 0.570527 0.694093 1.0 0.0 1.0 0.0 -1475.0 0.0 0.0 0.0 0.0 1.0 0.0
73 28894.5 675000.0 Unaccompanied NaN Drivers 3.0 NaN 0.368719 0.358951 7.0 0.0 7.0 0.0 -1175.0 0.0 0.0 0.0 0.0 0.0 0.0
74 21775.5 675000.0 Unaccompanied NaN Laborers 2.0 NaN 0.569873 0.198620 0.0 0.0 0.0 0.0 -1597.0 0.0 0.0 0.0 1.0 4.0 2.0
75 37800.0 1125000.0 Unaccompanied NaN Cooking staff 3.0 NaN 0.572064 0.191822 2.0 1.0 2.0 1.0 -1230.0 0.0 0.0 0.0 0.0 0.0 3.0
76 6750.0 135000.0 Unaccompanied NaN NaN 2.0 NaN 0.585174 0.408359 0.0 0.0 0.0 0.0 -1537.0 0.0 0.0 0.0 0.0 0.0 2.0
77 15781.5 256500.0 Unaccompanied NaN Laborers 2.0 NaN 0.550058 0.535276 2.0 0.0 2.0 0.0 -92.0 0.0 0.0 0.0 0.0 0.0 3.0
78 28273.5 585000.0 Unaccompanied NaN Core staff 3.0 0.592701 0.488600 NaN 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 3.0
79 5301.0 90000.0 Unaccompanied NaN NaN 1.0 NaN 0.582735 0.452534 3.0 0.0 3.0 0.0 -260.0 0.0 0.0 0.0 0.0 0.0 0.0
80 6750.0 135000.0 Unaccompanied NaN Sales staff 4.0 0.586698 0.304506 NaN 0.0 0.0 0.0 0.0 -1040.0 NaN NaN NaN NaN NaN NaN
81 14593.5 252000.0 Unaccompanied NaN NaN 2.0 NaN 0.023952 0.720944 1.0 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
82 30280.5 679500.0 Unaccompanied 20.0 NaN 2.0 NaN 0.357342 0.644679 6.0 0.0 6.0 0.0 -371.0 0.0 0.0 1.0 0.0 0.0 0.0
83 13500.0 270000.0 Unaccompanied 1.0 Drivers 2.0 NaN 0.597081 NaN 0.0 0.0 0.0 0.0 -617.0 NaN NaN NaN NaN NaN NaN
84 41076.0 679500.0 Unaccompanied NaN NaN 1.0 NaN 0.660579 0.342529 4.0 0.0 4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 3.0
85 38443.5 643500.0 Unaccompanied 65.0 Managers 4.0 0.447675 0.495765 0.824595 0.0 0.0 0.0 0.0 -1876.0 0.0 0.0 0.0 0.0 0.0 2.0
86 22072.5 283500.0 Unaccompanied 5.0 High skill tech staff 1.0 NaN 0.716212 NaN 0.0 0.0 0.0 0.0 -1585.0 NaN NaN NaN NaN NaN NaN
87 10264.5 270000.0 Unaccompanied NaN Laborers 2.0 0.414794 0.661108 0.477649 1.0 0.0 1.0 0.0 -2.0 0.0 0.0 0.0 6.0 0.0 0.0
88 16965.0 450000.0 Unaccompanied NaN NaN 2.0 NaN 0.718058 0.511892 4.0 0.0 4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
89 30690.0 472500.0 Unaccompanied NaN Waiters/barmen staff 2.0 0.763137 0.644627 NaN 1.0 0.0 1.0 0.0 -2591.0 0.0 0.0 0.0 0.0 0.0 1.0
90 23755.5 225000.0 Unaccompanied NaN Managers 2.0 0.765154 0.254760 0.411849 0.0 0.0 0.0 0.0 -1733.0 0.0 0.0 0.0 0.0 2.0 4.0
91 31288.5 450000.0 Unaccompanied NaN Sales staff 5.0 NaN 0.756668 0.641368 3.0 0.0 3.0 0.0 -546.0 0.0 0.0 0.0 0.0 0.0 0.0
92 25065.0 337500.0 Unaccompanied 21.0 Laborers 5.0 NaN 0.640549 0.328063 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 2.0
93 27954.0 720000.0 Unaccompanied 17.0 Sales staff 3.0 0.563323 0.608604 0.228883 1.0 0.0 1.0 0.0 -1234.0 0.0 0.0 0.0 0.0 0.0 0.0
94 64107.0 900000.0 Family 2.0 NaN 1.0 NaN 0.432340 0.077499 0.0 0.0 0.0 0.0 -591.0 0.0 0.0 0.0 0.0 0.0 2.0
95 6696.0 135000.0 Unaccompanied 11.0 Low-skill Laborers 1.0 0.475762 0.593019 0.789880 0.0 0.0 0.0 0.0 -1981.0 0.0 0.0 0.0 0.0 0.0 2.0
96 22599.0 225000.0 Unaccompanied NaN Laborers 1.0 0.395724 0.154937 0.265049 0.0 0.0 0.0 0.0 -227.0 0.0 0.0 0.0 0.0 0.0 2.0
97 14683.5 315000.0 Spouse, partner NaN NaN 2.0 NaN 0.334300 NaN 0.0 0.0 0.0 0.0 -40.0 0.0 0.0 0.0 0.0 2.0 2.0
98 32017.5 900000.0 Unaccompanied NaN Core staff 2.0 0.671272 0.700274 0.071055 2.0 0.0 2.0 0.0 -1083.0 0.0 0.0 0.0 0.0 0.0 0.0
99 26541.0 675000.0 Unaccompanied NaN NaN 1.0 NaN 0.626303 NaN 3.0 2.0 3.0 1.0 0.0 NaN NaN NaN NaN NaN NaN
100 9000.0 180000.0 Unaccompanied NaN Medicine staff 2.0 NaN 0.500264 0.077499 0.0 0.0 0.0 0.0 -149.0 0.0 0.0 0.0 0.0 0.0 0.0
101 28215.0 675000.0 Unaccompanied NaN Core staff 2.0 0.254352 0.169953 0.121408 1.0 0.0 1.0 0.0 -17.0 0.0 0.0 0.0 0.0 0.0 0.0
102 26145.0 679500.0 Unaccompanied NaN Low-skill Laborers 2.0 NaN 0.586150 0.581484 5.0 2.0 5.0 2.0 -319.0 1.0 1.0 0.0 0.0 0.0 1.0
103 26217.0 675000.0 Unaccompanied NaN Core staff 3.0 0.405564 0.047291 0.406617 5.0 1.0 5.0 1.0 -663.0 0.0 0.0 0.0 0.0 0.0 0.0
104 19737.0 675000.0 Unaccompanied NaN Security staff 1.0 NaN 0.399366 0.673830 0.0 0.0 0.0 0.0 -1689.0 0.0 0.0 0.0 0.0 0.0 2.0
105 28647.0 396000.0 Unaccompanied NaN NaN 1.0 NaN 0.710318 0.554947 0.0 0.0 0.0 0.0 -1080.0 0.0 0.0 0.0 0.0 1.0 8.0
106 26208.0 238500.0 Unaccompanied NaN NaN 2.0 NaN 0.571331 0.554947 0.0 0.0 0.0 0.0 -1165.0 0.0 0.0 0.0 0.0 0.0 2.0
107 9000.0 180000.0 Family NaN NaN 4.0 NaN 0.705093 0.574447 1.0 1.0 1.0 1.0 -1091.0 0.0 0.0 0.0 0.0 0.0 0.0
108 5341.5 45000.0 Unaccompanied NaN NaN 2.0 NaN 0.687003 NaN 0.0 0.0 0.0 0.0 -2279.0 NaN NaN NaN NaN NaN NaN
109 6750.0 135000.0 Unaccompanied 5.0 NaN 3.0 0.479544 0.610207 NaN 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
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307344 12321.0 157500.0 Unaccompanied NaN Cooking staff 1.0 NaN 0.039031 0.365617 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0
307345 24718.5 702000.0 Unaccompanied 11.0 Managers 2.0 NaN 0.350089 0.265049 0.0 0.0 0.0 0.0 -1560.0 0.0 0.0 0.0 0.0 0.0 3.0
307346 33421.5 495000.0 Group of people NaN Sales staff 3.0 0.385153 0.642300 0.631355 1.0 0.0 1.0 0.0 -2811.0 0.0 0.0 0.0 0.0 2.0 6.0
307347 21739.5 225000.0 Unaccompanied NaN Accountants 2.0 NaN 0.293235 0.519097 8.0 0.0 8.0 0.0 -834.0 0.0 0.0 0.0 0.0 0.0 0.0
307348 52690.5 675000.0 Family NaN NaN 2.0 NaN 0.638503 0.733815 2.0 0.0 2.0 0.0 -271.0 0.0 0.0 0.0 0.0 0.0 2.0
307349 30928.5 652500.0 Unaccompanied 6.0 Laborers 2.0 NaN 0.744449 0.691021 4.0 0.0 4.0 0.0 -2026.0 0.0 0.0 0.0 0.0 0.0 2.0
307350 21091.5 598500.0 Unaccompanied 8.0 NaN 2.0 NaN 0.761364 0.821443 0.0 0.0 0.0 0.0 -1720.0 0.0 0.0 0.0 2.0 0.0 3.0
307351 36000.0 454500.0 Unaccompanied 3.0 Managers 4.0 NaN 0.534509 0.669057 4.0 0.0 4.0 0.0 -1629.0 0.0 0.0 0.0 0.0 0.0 4.0
307352 14364.0 135000.0 Unaccompanied NaN NaN 2.0 0.702671 0.111986 0.641368 0.0 0.0 0.0 0.0 -734.0 0.0 0.0 0.0 0.0 0.0 1.0
307353 21339.0 337500.0 Unaccompanied NaN NaN 1.0 NaN 0.269471 NaN 1.0 0.0 1.0 0.0 0.0 NaN NaN NaN NaN NaN NaN
307354 6781.5 112500.0 Family NaN Managers 2.0 0.572989 0.712419 0.579727 1.0 0.0 1.0 0.0 -242.0 0.0 0.0 0.0 0.0 0.0 6.0
307355 17019.0 315000.0 Unaccompanied NaN Cooking staff 2.0 NaN 0.756918 0.267869 1.0 0.0 1.0 0.0 -183.0 0.0 0.0 0.0 2.0 0.0 0.0
307356 19791.0 472500.0 Unaccompanied 11.0 Drivers 2.0 0.511457 0.607572 0.605836 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0
307357 28570.5 900000.0 Unaccompanied 12.0 Managers 1.0 0.255921 0.570693 0.210350 0.0 0.0 0.0 0.0 -5.0 0.0 0.0 0.0 0.0 0.0 0.0
307358 16051.5 274500.0 Unaccompanied 9.0 Security staff 4.0 0.653115 0.418337 0.758393 0.0 0.0 0.0 0.0 -1907.0 0.0 0.0 0.0 2.0 0.0 0.0
307359 21906.0 675000.0 Family 14.0 Security staff 2.0 0.383096 0.612929 0.475850 1.0 0.0 1.0 0.0 -1789.0 0.0 0.0 0.0 0.0 0.0 0.0
307360 15993.0 180000.0 Unaccompanied 11.0 Sales staff 2.0 NaN 0.229327 NaN 1.0 0.0 1.0 0.0 -134.0 NaN NaN NaN NaN NaN NaN
307361 16956.0 229500.0 Unaccompanied 23.0 NaN 2.0 0.748347 0.609208 NaN 0.0 0.0 0.0 0.0 0.0 NaN NaN NaN NaN NaN NaN
307362 12717.0 270000.0 Unaccompanied NaN NaN 2.0 NaN 0.704516 0.370650 1.0 1.0 1.0 1.0 -947.0 0.0 0.0 0.0 0.0 0.0 4.0
307363 21519.0 553500.0 Unaccompanied 7.0 NaN 2.0 0.791993 0.266520 0.360613 3.0 1.0 3.0 1.0 -1463.0 0.0 0.0 0.0 1.0 0.0 5.0
307364 30631.5 679500.0 Unaccompanied NaN Sales staff 2.0 0.549216 0.081689 0.154744 0.0 0.0 0.0 0.0 -181.0 0.0 0.0 0.0 0.0 0.0 8.0
307365 58770.0 743863.5 Unaccompanied NaN Laborers 2.0 NaN 0.406252 NaN 5.0 1.0 5.0 1.0 -413.0 0.0 0.0 0.0 0.0 0.0 1.0
307366 19386.0 454500.0 Unaccompanied NaN Core staff 4.0 NaN 0.641872 0.417100 0.0 0.0 0.0 0.0 -1688.0 0.0 0.0 0.0 0.0 0.0 1.0
307367 17199.0 351000.0 Unaccompanied NaN Sales staff 3.0 NaN 0.678268 NaN 7.0 1.0 7.0 1.0 -236.0 NaN NaN NaN NaN NaN NaN
307368 15943.5 238500.0 Unaccompanied NaN Managers 4.0 0.409632 0.600496 0.652897 0.0 0.0 0.0 0.0 -1626.0 0.0 0.0 0.0 0.0 0.0 6.0
307369 42642.0 1350000.0 Spouse, partner NaN NaN 2.0 NaN 0.662459 0.614414 1.0 0.0 1.0 0.0 -1392.0 0.0 0.0 0.0 0.0 0.0 1.0
307370 28975.5 823500.0 Unaccompanied NaN NaN 2.0 NaN 0.285898 0.468660 5.0 0.0 5.0 0.0 -2218.0 0.0 0.0 0.0 0.0 2.0 6.0
307371 39676.5 675000.0 Family 8.0 NaN 1.0 NaN 0.572739 0.657784 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 2.0 0.0
307372 9000.0 180000.0 Unaccompanied NaN Sales staff 1.0 0.131486 0.135915 NaN 0.0 0.0 0.0 0.0 -54.0 NaN NaN NaN NaN NaN NaN
307373 14391.0 148500.0 Unaccompanied NaN Laborers 3.0 0.194661 0.309629 0.355639 5.0 0.0 5.0 0.0 -1298.0 0.0 0.0 0.0 1.0 0.0 8.0
307374 66757.5 900000.0 Unaccompanied 8.0 Drivers 2.0 NaN 0.758844 0.408359 0.0 0.0 0.0 0.0 -3384.0 0.0 0.0 0.0 0.0 0.0 3.0
307375 6750.0 135000.0 Family NaN Sales staff 2.0 NaN 0.472924 0.853731 0.0 0.0 0.0 0.0 -426.0 0.0 0.0 0.0 0.0 0.0 3.0
307376 16200.0 315000.0 Family NaN Laborers 3.0 0.173754 0.582720 0.279335 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0
307377 20943.0 283500.0 Unaccompanied NaN NaN 1.0 NaN 0.163187 NaN 9.0 1.0 9.0 0.0 -4.0 NaN NaN NaN NaN NaN NaN
307378 42574.5 450000.0 Unaccompanied NaN Medicine staff 2.0 NaN 0.661451 0.259468 0.0 0.0 0.0 0.0 -1075.0 0.0 0.0 0.0 0.0 0.0 5.0
307379 16884.0 139500.0 Unaccompanied NaN Low-skill Laborers 1.0 0.196288 0.322949 NaN 0.0 0.0 0.0 0.0 -1525.0 NaN NaN NaN NaN NaN NaN
307380 29389.5 720000.0 Unaccompanied 2.0 Laborers 2.0 0.359846 0.663085 NaN 6.0 3.0 6.0 2.0 -1570.0 0.0 0.0 0.0 0.0 0.0 4.0
307381 16456.5 225000.0 Unaccompanied NaN Laborers 2.0 NaN 0.288490 0.540654 2.0 1.0 2.0 1.0 -323.0 0.0 0.0 0.0 0.0 0.0 1.0
307382 42169.5 1255500.0 Unaccompanied 11.0 High skill tech staff 3.0 0.635751 0.594390 0.629674 1.0 0.0 1.0 0.0 -937.0 0.0 0.0 0.0 0.0 0.0 1.0
307383 33444.0 378000.0 Unaccompanied NaN Laborers 3.0 NaN 0.146779 0.133429 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0
307384 13500.0 270000.0 Unaccompanied NaN Drivers 2.0 NaN 0.674328 0.719491 1.0 0.0 1.0 0.0 -1922.0 0.0 0.0 0.0 0.0 0.0 4.0
307385 9000.0 180000.0 Unaccompanied 16.0 Sales staff 4.0 0.413955 0.616891 NaN 0.0 0.0 0.0 0.0 -152.0 0.0 0.0 0.0 0.0 0.0 1.0
307386 17653.5 175500.0 Unaccompanied NaN NaN 1.0 0.786014 0.200589 0.176653 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 7.0
307387 56092.5 900000.0 Other_B NaN NaN 5.0 NaN NaN NaN 0.0 0.0 0.0 0.0 -1780.0 NaN NaN NaN NaN NaN NaN
307388 23989.5 405000.0 Unaccompanied 30.0 NaN 3.0 0.379638 0.357649 NaN 0.0 0.0 0.0 0.0 -266.0 NaN NaN NaN NaN NaN NaN
307389 33034.5 859500.0 Unaccompanied NaN Drivers 2.0 0.407285 0.743712 0.604113 0.0 0.0 0.0 0.0 -2115.0 0.0 0.0 0.0 0.0 0.0 2.0
307390 15111.0 225000.0 Unaccompanied NaN NaN 2.0 NaN 0.312901 0.832785 0.0 0.0 0.0 0.0 -301.0 0.0 0.0 0.0 0.0 0.0 1.0
307391 21510.0 540000.0 Unaccompanied NaN Core staff 1.0 NaN 0.602263 0.680139 3.0 0.0 3.0 0.0 -867.0 0.0 0.0 0.0 0.0 0.0 3.0
307392 77809.5 1305000.0 Unaccompanied NaN NaN 2.0 NaN 0.746573 0.515495 3.0 0.0 3.0 0.0 -1471.0 0.0 0.0 0.0 0.0 0.0 0.0
307393 15921.0 544500.0 Unaccompanied 7.0 NaN 2.0 0.732839 0.677059 0.379100 1.0 0.0 1.0 0.0 -1025.0 0.0 0.0 0.0 0.0 1.0 8.0
307394 19588.5 162000.0 Unaccompanied NaN NaN 2.0 NaN 0.426249 0.465069 2.0 0.0 2.0 0.0 -842.0 0.0 0.0 0.0 0.0 0.0 2.0
307395 49513.5 481500.0 Unaccompanied NaN Laborers 2.0 0.784226 0.548645 0.600658 7.0 0.0 7.0 0.0 -1193.0 0.0 0.0 0.0 1.0 0.0 4.0
307396 29655.0 270000.0 Unaccompanied NaN Drivers 1.0 0.237427 0.544743 0.443615 1.0 0.0 1.0 0.0 -900.0 0.0 0.0 0.0 0.0 1.0 1.0
307397 22171.5 540000.0 Unaccompanied 28.0 NaN 2.0 NaN 0.382095 0.754406 0.0 0.0 0.0 0.0 -1648.0 0.0 0.0 0.0 0.0 0.0 1.0
307398 8239.5 229500.0 Unaccompanied NaN NaN 1.0 NaN 0.353855 0.484851 0.0 0.0 0.0 0.0 -1518.0 0.0 0.0 1.0 0.0 2.0 3.0
307399 21051.0 720000.0 Unaccompanied NaN Cooking staff 4.0 0.529913 0.598837 0.656158 2.0 0.0 2.0 0.0 -894.0 0.0 0.0 0.0 0.0 4.0 2.0
307400 5296.5 45000.0 Unaccompanied NaN Core staff 2.0 0.264599 0.684615 NaN 5.0 0.0 5.0 0.0 -1386.0 NaN NaN NaN NaN NaN NaN
307401 47385.0 1345500.0 Unaccompanied 9.0 NaN 2.0 NaN 0.266520 0.357293 0.0 0.0 0.0 0.0 -1695.0 0.0 0.0 0.0 0.0 1.0 1.0
307402 19125.0 382500.0 Unaccompanied NaN NaN 1.0 NaN 0.165364 0.644679 NaN NaN NaN NaN -633.0 0.0 0.0 0.0 0.0 0.0 6.0
307403 14751.0 225000.0 Unaccompanied NaN Managers 1.0 0.874200 0.794105 0.723837 0.0 0.0 0.0 0.0 -2897.0 0.0 0.0 0.0 1.0 0.0 3.0
307404 21906.0 675000.0 Unaccompanied NaN NaN 1.0 NaN 0.690215 0.303146 0.0 0.0 0.0 0.0 -609.0 0.0 0.0 0.0 0.0 0.0 2.0
307405 26419.5 373500.0 Unaccompanied NaN NaN 2.0 NaN 0.310433 NaN 2.0 0.0 2.0 0.0 -391.0 0.0 0.0 0.0 0.0 0.0 0.0
307406 13747.5 180000.0 Unaccompanied NaN NaN 1.0 NaN 0.194540 0.484851 1.0 1.0 1.0 1.0 -1696.0 0.0 0.0 0.0 0.0 0.0 2.0
307407 47673.0 643500.0 Spouse, partner 4.0 Sales staff 3.0 0.766549 0.696695 0.624615 3.0 2.0 3.0 1.0 -572.0 0.0 0.0 0.0 1.0 0.0 1.0
307408 18855.0 180000.0 Unaccompanied 3.0 Medicine staff 3.0 0.345967 0.665586 0.605836 0.0 0.0 0.0 0.0 -617.0 0.0 0.0 0.0 1.0 0.0 2.0
307409 39100.5 1237500.0 Unaccompanied NaN Core staff 2.0 0.657671 0.557887 0.477649 3.0 0.0 3.0 0.0 -1285.0 0.0 0.0 0.0 0.0 0.0 1.0
307410 8059.5 180000.0 Unaccompanied NaN NaN 1.0 NaN 0.003404 0.286652 3.0 0.0 2.0 0.0 -1697.0 0.0 0.0 0.0 0.0 0.0 2.0
307411 8734.5 112500.0 Unaccompanied NaN NaN 2.0 0.712351 0.551659 NaN 4.0 0.0 4.0 0.0 -1723.0 0.0 0.0 0.0 0.0 0.0 2.0
307412 29034.0 900000.0 Unaccompanied NaN NaN 2.0 0.371031 0.705375 0.652897 0.0 0.0 0.0 0.0 -1519.0 0.0 0.0 0.0 0.0 0.0 2.0
307413 14242.5 225000.0 Spouse, partner NaN Core staff 2.0 0.682609 0.669174 0.665855 0.0 0.0 0.0 0.0 -2852.0 0.0 0.0 0.0 0.0 0.0 2.0
307414 31653.0 900000.0 Family 13.0 Laborers 4.0 NaN 0.443849 0.678568 2.0 0.0 2.0 0.0 -1193.0 0.0 0.0 0.0 0.0 1.0 1.0
307415 30204.0 508500.0 Unaccompanied 6.0 Drivers 2.0 NaN 0.162231 0.835777 1.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0
307416 21982.5 270000.0 Unaccompanied 20.0 High skill tech staff 1.0 0.347266 0.359983 0.678568 5.0 2.0 5.0 2.0 -955.0 0.0 0.0 0.0 0.0 0.0 2.0
307417 16645.5 270000.0 Unaccompanied NaN NaN 1.0 NaN 0.319830 0.617826 4.0 0.0 4.0 0.0 -1746.0 0.0 0.0 0.0 0.0 0.0 6.0
307418 22747.5 292500.0 Unaccompanied NaN Sales staff 2.0 0.682714 0.499351 0.591977 9.0 0.0 9.0 0.0 -2508.0 0.0 0.0 0.0 0.0 4.0 8.0
307419 22500.0 450000.0 Unaccompanied NaN Medicine staff 3.0 0.598464 0.619409 0.417100 0.0 0.0 0.0 0.0 -1195.0 0.0 0.0 0.0 0.0 1.0 3.0
307420 48847.5 1282500.0 Unaccompanied NaN NaN 2.0 NaN 0.710066 0.497469 0.0 0.0 0.0 0.0 -2054.0 0.0 0.0 0.0 0.0 0.0 1.0
307421 9751.5 144000.0 Unaccompanied 1.0 NaN 2.0 NaN 0.333707 NaN 1.0 0.0 1.0 0.0 -282.0 0.0 0.0 0.0 0.0 0.0 3.0
307422 68643.0 1800000.0 Family NaN NaN 2.0 0.724400 0.668457 0.738020 4.0 0.0 4.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0
307423 7632.0 94500.0 Unaccompanied NaN NaN 1.0 0.323674 0.134254 0.644679 5.0 0.0 5.0 0.0 -1366.0 0.0 0.0 0.0 0.0 2.0 0.0
307424 16326.0 225000.0 Unaccompanied NaN NaN 2.0 NaN 0.715572 0.431192 0.0 0.0 0.0 0.0 -561.0 0.0 0.0 0.0 0.0 4.0 4.0
307425 22500.0 450000.0 Unaccompanied 7.0 Drivers 4.0 0.216368 0.414246 0.384207 0.0 0.0 0.0 0.0 -1911.0 0.0 0.0 0.0 0.0 0.0 2.0
307426 25078.5 463500.0 Unaccompanied NaN NaN 2.0 NaN 0.220484 0.387625 2.0 1.0 2.0 1.0 0.0 0.0 0.0 0.0 2.0 0.0 4.0
307427 46786.5 1147500.0 Family 21.0 Cleaning staff 2.0 0.475918 0.577996 0.789880 0.0 0.0 0.0 0.0 -2040.0 0.0 0.0 0.0 0.0 0.0 2.0
307428 40860.0 1102500.0 Unaccompanied NaN NaN 1.0 0.662429 0.645418 0.510090 12.0 0.0 12.0 0.0 -1469.0 0.0 0.0 0.0 0.0 0.0 6.0
307429 22738.5 585000.0 Unaccompanied NaN Core staff 1.0 NaN 0.699373 0.171468 0.0 0.0 0.0 0.0 -589.0 0.0 0.0 0.0 0.0 0.0 1.0
307430 11034.0 135000.0 Unaccompanied NaN NaN 2.0 0.890056 0.355126 0.363945 0.0 0.0 0.0 0.0 -2562.0 0.0 0.0 0.0 0.0 0.0 3.0
307431 18256.5 270000.0 Unaccompanied NaN NaN 2.0 0.234345 0.203856 NaN 0.0 0.0 0.0 0.0 -1101.0 NaN NaN NaN NaN NaN NaN
307432 42934.5 679500.0 Unaccompanied NaN Drivers 2.0 0.550233 0.655284 0.235311 1.0 0.0 1.0 0.0 -124.0 0.0 0.0 0.0 0.0 0.0 2.0
307433 7731.0 90000.0 Unaccompanied NaN NaN 1.0 0.149808 0.182723 0.434733 0.0 0.0 0.0 0.0 -170.0 0.0 0.0 0.0 0.0 0.0 4.0
307434 16015.5 153000.0 Unaccompanied 10.0 NaN 2.0 NaN 0.092283 0.739412 0.0 0.0 0.0 0.0 -1121.0 0.0 0.0 0.0 0.0 0.0 0.0
307435 19737.0 675000.0 Unaccompanied 2.0 Managers 2.0 NaN 0.631091 0.680139 0.0 0.0 0.0 0.0 -2248.0 0.0 0.0 0.0 0.0 0.0 2.0
307436 17064.0 180000.0 Spouse, partner NaN Sales staff 4.0 0.306679 0.662811 0.783832 6.0 0.0 6.0 0.0 -2265.0 0.0 0.0 0.0 0.0 0.0 1.0
307437 12658.5 180000.0 Unaccompanied 16.0 Cleaning staff 1.0 NaN 0.622929 0.689479 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0 1.0
307438 42142.5 1125000.0 Unaccompanied NaN Core staff 1.0 0.424250 0.727863 0.392774 5.0 1.0 5.0 0.0 -834.0 0.0 0.0 0.0 0.0 1.0 2.0
307439 50386.5 900000.0 Unaccompanied NaN Managers 2.0 NaN 0.716767 0.401407 1.0 0.0 1.0 0.0 -15.0 0.0 0.0 0.0 0.0 0.0 0.0
307440 45751.5 661500.0 Unaccompanied NaN Managers 2.0 0.794982 0.653572 NaN 0.0 0.0 0.0 0.0 -406.0 NaN NaN NaN NaN NaN NaN
307441 24939.0 225000.0 Unaccompanied NaN NaN 2.0 NaN 0.500401 0.549597 0.0 0.0 0.0 0.0 -1582.0 0.0 0.0 0.0 0.0 0.0 6.0
307442 9580.5 90000.0 Family 3.0 Managers 3.0 0.541523 0.511092 0.683269 0.0 0.0 0.0 0.0 -1406.0 0.0 0.0 0.0 0.0 0.0 3.0
307443 44559.0 1111500.0 Unaccompanied NaN NaN 2.0 NaN 0.683457 0.574447 0.0 0.0 0.0 0.0 -105.0 0.0 0.0 0.0 0.0 0.0 0.0
307444 13500.0 270000.0 Unaccompanied NaN NaN 4.0 0.523651 0.452707 NaN 6.0 0.0 6.0 0.0 -414.0 0.0 0.0 0.0 0.0 0.0 0.0
307445 42075.0 990000.0 Unaccompanied 30.0 NaN 2.0 0.851707 0.268981 0.396220 0.0 0.0 0.0 0.0 -344.0 0.0 0.0 0.0 0.0 0.0 2.0
307446 40671.0 900000.0 Unaccompanied NaN Drivers 1.0 NaN 0.348737 NaN 0.0 0.0 0.0 0.0 -243.0 NaN NaN NaN NaN NaN NaN
307447 22527.0 472500.0 Family NaN NaN 2.0 NaN 0.600160 0.621226 0.0 0.0 0.0 0.0 -1023.0 0.0 0.0 0.0 0.0 1.0 3.0
307448 32746.5 450000.0 Unaccompanied NaN Laborers 3.0 0.073452 0.329708 0.360613 0.0 0.0 0.0 0.0 -324.0 0.0 0.0 0.0 0.0 0.0 2.0
307449 38974.5 1053000.0 Unaccompanied 15.0 Sales staff 3.0 0.637365 0.599436 0.306202 1.0 1.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0
307450 21924.0 315000.0 Unaccompanied NaN NaN 1.0 0.764561 0.312168 NaN 1.0 0.0 1.0 0.0 -2950.0 NaN NaN NaN NaN NaN NaN
307451 25407.0 450000.0 Unaccompanied 13.0 Core staff 3.0 NaN 0.253372 0.701696 5.0 1.0 5.0 0.0 -1938.0 0.0 0.0 0.0 0.0 0.0 0.0
307452 46926.0 1350000.0 Unaccompanied 14.0 NaN 4.0 0.591136 0.541303 0.754406 0.0 0.0 0.0 0.0 -741.0 0.0 0.0 0.0 2.0 0.0 1.0
307453 24412.5 450000.0 Unaccompanied NaN Sales staff 3.0 0.171788 0.092387 0.425893 0.0 0.0 0.0 0.0 -285.0 0.0 0.0 0.0 0.0 0.0 1.0
307454 39078.0 1332000.0 Unaccompanied NaN Security staff 2.0 0.351204 0.661427 0.591977 0.0 0.0 0.0 0.0 -390.0 0.0 0.0 0.0 0.0 0.0 0.0
307455 15165.0 225000.0 Unaccompanied NaN Sales staff 3.0 NaN 0.427019 0.652897 0.0 0.0 0.0 0.0 -2615.0 0.0 0.0 0.0 0.0 0.0 0.0
307456 15075.0 270000.0 Unaccompanied 5.0 Cleaning staff 2.0 0.823222 0.534302 0.723837 0.0 0.0 0.0 0.0 -2299.0 0.0 0.0 0.0 0.0 0.0 3.0
307457 18000.0 360000.0 Unaccompanied NaN Sales staff 4.0 NaN 0.680098 0.638044 0.0 0.0 0.0 0.0 -2326.0 0.0 0.0 0.0 2.0 0.0 1.0
307458 23364.0 225000.0 Unaccompanied NaN Cooking staff 2.0 0.574278 0.753453 0.832785 0.0 0.0 0.0 0.0 -1635.0 0.0 0.0 0.0 0.0 0.0 1.0
307459 49095.0 787500.0 Unaccompanied 12.0 Laborers 2.0 0.122883 0.421987 NaN 2.0 0.0 2.0 0.0 -125.0 NaN NaN NaN NaN NaN NaN
307460 24354.0 643500.0 Unaccompanied 8.0 Security staff 3.0 0.505346 0.575246 0.479449 0.0 0.0 0.0 0.0 -1994.0 0.0 0.0 0.0 0.0 0.0 4.0
307461 16645.5 463500.0 Unaccompanied NaN Managers 3.0 0.295794 0.583947 NaN 0.0 0.0 0.0 0.0 -1669.0 NaN NaN NaN NaN NaN NaN
307462 57222.0 922500.0 Family 10.0 Accountants 5.0 NaN 0.513005 0.285180 0.0 0.0 0.0 0.0 -656.0 0.0 0.0 0.0 0.0 0.0 2.0
307463 17338.5 225000.0 Family NaN NaN 2.0 NaN 0.666924 0.728141 0.0 0.0 0.0 0.0 -1573.0 0.0 0.0 0.0 0.0 2.0 0.0
307464 27121.5 472500.0 Unaccompanied NaN Cooking staff 2.0 0.676600 0.503774 NaN 0.0 0.0 0.0 0.0 -1457.0 NaN NaN NaN NaN NaN NaN
307465 33259.5 675000.0 Unaccompanied NaN Core staff 3.0 NaN 0.590768 0.766234 4.0 0.0 4.0 0.0 -1135.0 0.0 0.0 0.0 0.0 0.0 1.0
307466 26550.0 477000.0 Unaccompanied NaN Medicine staff 2.0 NaN 0.639970 NaN 0.0 0.0 0.0 0.0 -2492.0 NaN NaN NaN NaN NaN NaN
307467 33750.0 675000.0 Unaccompanied NaN Accountants 2.0 0.872456 0.724419 NaN 0.0 0.0 0.0 0.0 -148.0 0.0 0.0 0.0 0.0 0.0 0.0
307468 21888.0 283500.0 Unaccompanied NaN NaN 3.0 0.510609 0.240384 0.511892 2.0 0.0 2.0 0.0 -499.0 0.0 0.0 0.0 0.0 1.0 2.0
307469 29943.0 607500.0 Unaccompanied NaN NaN 1.0 NaN 0.195625 0.360613 11.0 2.0 11.0 0.0 -1667.0 0.0 0.0 0.0 1.0 0.0 0.0
307470 10309.5 270000.0 Unaccompanied NaN Cooking staff 2.0 NaN 0.479758 0.337673 0.0 0.0 0.0 0.0 -2190.0 0.0 0.0 0.0 0.0 0.0 1.0
307471 32274.0 450000.0 Unaccompanied NaN Secretaries 4.0 0.623946 0.554902 0.629674 0.0 0.0 0.0 0.0 -385.0 0.0 0.0 0.0 0.0 2.0 0.0
307472 23773.5 675000.0 Unaccompanied NaN Sales staff 3.0 0.567361 0.131189 0.691021 6.0 0.0 6.0 0.0 -1831.0 0.0 0.0 0.0 0.0 0.0 0.0
307473 20439.0 234000.0 Spouse, partner 18.0 High skill tech staff 3.0 0.585450 0.264486 0.565608 1.0 0.0 1.0 0.0 -637.0 0.0 0.0 0.0 0.0 2.0 1.0
307474 23004.0 360000.0 Unaccompanied 16.0 Laborers 4.0 0.511349 0.502692 NaN 0.0 0.0 0.0 0.0 -2159.0 NaN NaN NaN NaN NaN NaN
307475 46809.0 1125000.0 Unaccompanied NaN Laborers 3.0 0.634729 0.583214 0.424130 0.0 0.0 0.0 0.0 -1492.0 0.0 0.0 0.0 1.0 0.0 6.0
307476 48456.0 1575000.0 Unaccompanied NaN NaN 4.0 0.629572 0.277728 0.771362 0.0 0.0 0.0 0.0 -2538.0 0.0 0.0 0.0 0.0 0.0 1.0
307477 38443.5 643500.0 Unaccompanied NaN Medicine staff 2.0 NaN 0.547811 0.667458 0.0 0.0 0.0 0.0 -1353.0 0.0 0.0 0.0 0.0 2.0 1.0
307478 40540.5 1125000.0 Family NaN Core staff 2.0 0.889817 0.440537 0.420611 0.0 0.0 0.0 0.0 -549.0 0.0 0.0 1.0 0.0 0.0 2.0
307479 31630.5 450000.0 Spouse, partner NaN Sales staff 3.0 0.407174 0.226036 0.352340 3.0 0.0 3.0 0.0 -396.0 0.0 0.0 0.0 0.0 0.0 2.0
307480 39474.0 1350000.0 Unaccompanied NaN Core staff 3.0 NaN 0.679122 0.647977 1.0 1.0 1.0 0.0 -1594.0 0.0 0.0 0.0 0.0 0.0 4.0
307481 19975.5 297000.0 Family NaN Managers 2.0 NaN 0.713524 0.511892 0.0 0.0 0.0 0.0 -2941.0 0.0 0.0 0.0 0.0 0.0 3.0
307482 34969.5 472500.0 Unaccompanied 11.0 Managers 2.0 0.470808 0.737905 0.394495 0.0 0.0 0.0 0.0 -611.0 0.0 0.0 0.0 0.0 0.0 1.0
307483 16479.0 225000.0 Unaccompanied NaN NaN 1.0 NaN 0.589906 0.520898 1.0 1.0 1.0 1.0 -1775.0 0.0 0.0 0.0 0.0 0.0 5.0
307484 35617.5 450000.0 Unaccompanied 1.0 Managers 2.0 NaN 0.739703 NaN 0.0 0.0 0.0 0.0 -1578.0 NaN NaN NaN NaN NaN NaN
307485 9000.0 180000.0 Family NaN Sales staff 2.0 0.426391 0.702403 0.865896 0.0 0.0 0.0 0.0 -336.0 0.0 0.0 0.0 0.0 0.0 0.0
307486 18283.5 270000.0 Unaccompanied 9.0 NaN 3.0 NaN 0.661025 0.199771 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0
307487 31473.0 936000.0 Unaccompanied NaN NaN 2.0 NaN 0.307082 0.255332 0.0 0.0 0.0 0.0 -846.0 0.0 0.0 0.0 0.0 1.0 8.0
307488 13351.5 135000.0 Unaccompanied NaN Core staff 1.0 0.479458 0.619662 0.529890 1.0 0.0 1.0 0.0 -610.0 0.0 0.0 0.0 0.0 2.0 1.0
307489 23089.5 450000.0 Unaccompanied NaN Sales staff 2.0 NaN 0.615261 0.397946 1.0 1.0 1.0 0.0 -307.0 0.0 0.0 0.0 0.0 1.0 2.0
307490 9148.5 135000.0 Unaccompanied NaN Laborers 1.0 0.245623 0.378421 0.495666 0.0 0.0 0.0 0.0 -439.0 0.0 0.0 0.0 0.0 0.0 1.0
307491 31522.5 900000.0 Unaccompanied 15.0 Drivers 4.0 0.532858 0.561158 0.716570 4.0 0.0 4.0 0.0 -1357.0 0.0 0.0 0.0 0.0 1.0 7.0
307492 43443.0 1575000.0 Unaccompanied 2.0 Sales staff 2.0 NaN 0.599173 0.365617 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
307493 37678.5 765000.0 Unaccompanied NaN Security staff 2.0 NaN 0.424683 0.728141 0.0 0.0 0.0 0.0 -249.0 0.0 0.0 0.0 0.0 1.0 7.0
307494 46858.5 450000.0 Family 15.0 Drivers 3.0 0.531969 0.699727 0.511892 11.0 0.0 11.0 0.0 -367.0 0.0 0.0 1.0 0.0 0.0 1.0
307495 23773.5 675000.0 Unaccompanied 2.0 High skill tech staff 2.0 NaN 0.267834 0.597192 0.0 0.0 0.0 0.0 -2919.0 0.0 0.0 0.0 0.0 0.0 1.0
307496 16875.0 337500.0 Family NaN Cooking staff 2.0 0.644797 0.512081 0.486653 0.0 0.0 0.0 0.0 -826.0 0.0 0.0 0.0 0.0 0.0 2.0
307497 12028.5 193500.0 Unaccompanied 0.0 Sales staff 2.0 0.251096 0.651306 0.524496 0.0 0.0 0.0 0.0 -1344.0 0.0 0.0 0.0 0.0 0.0 6.0
307498 52168.5 1125000.0 Unaccompanied 10.0 Laborers 2.0 NaN 0.746259 0.406617 0.0 0.0 0.0 0.0 -734.0 0.0 0.0 0.0 0.0 0.0 2.0
307499 12694.5 225000.0 Unaccompanied NaN Medicine staff 2.0 0.665343 0.649123 0.206779 4.0 0.0 4.0 0.0 -1511.0 0.0 0.0 0.0 1.0 1.0 0.0
307500 35982.0 1138500.0 Unaccompanied NaN NaN 2.0 0.896042 0.789389 0.337673 0.0 0.0 0.0 0.0 -1459.0 0.0 0.0 0.0 1.0 0.0 5.0
307501 11871.0 225000.0 Unaccompanied NaN Low-skill Laborers 5.0 NaN 0.575481 NaN 2.0 1.0 2.0 1.0 -448.0 NaN NaN NaN NaN NaN NaN
307502 10620.0 225000.0 Unaccompanied NaN Laborers 3.0 NaN 0.313334 0.735221 0.0 0.0 0.0 0.0 -1516.0 0.0 0.0 0.0 0.0 0.0 1.0
307503 17770.5 247500.0 Unaccompanied NaN Core staff 1.0 0.243466 0.501221 0.609276 9.0 3.0 9.0 2.0 -2315.0 0.0 0.0 0.0 1.0 0.0 2.0
307504 16096.5 225000.0 Unaccompanied NaN Sales staff 1.0 NaN 0.530725 NaN 0.0 0.0 0.0 0.0 0.0 NaN NaN NaN NaN NaN NaN
307505 22050.0 225000.0 Unaccompanied NaN NaN 1.0 NaN 0.346391 0.742182 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0 0.0 0.0
307506 27558.0 225000.0 Unaccompanied NaN Sales staff 1.0 0.145570 0.681632 NaN 0.0 0.0 0.0 0.0 -273.0 NaN NaN NaN NaN NaN NaN
307507 12001.5 225000.0 Unaccompanied NaN NaN 1.0 NaN 0.115992 NaN 0.0 0.0 0.0 0.0 0.0 NaN NaN NaN NaN NaN NaN
307508 29979.0 585000.0 Unaccompanied NaN Managers 1.0 0.744026 0.535722 0.218859 6.0 0.0 6.0 0.0 -1909.0 1.0 0.0 0.0 1.0 0.0 1.0
307509 20205.0 319500.0 Unaccompanied NaN Laborers 2.0 NaN 0.514163 0.661024 0.0 0.0 0.0 0.0 -322.0 0.0 0.0 0.0 0.0 0.0 0.0
307510 49117.5 675000.0 Unaccompanied NaN Laborers 2.0 0.734460 0.708569 0.113922 0.0 0.0 0.0 0.0 -787.0 0.0 0.0 0.0 2.0 0.0 1.0

307511 rows × 20 columns

In [18]:
### Lets handle the missing values one by one
app.AMT_ANNUITY.isnull().sum()/len(app)*100
Out[18]:
0.003902299429939092
In [98]:
app.AMT_ANNUITY.value_counts()
Out[98]:
9000.0      6385
13500.0     5514
6750.0      2279
10125.0     2035
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11250.0     1459
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31653.0     1269
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22500.0     1234
16875.0     1213
36459.0     1191
33025.5      938
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23773.5      875
25537.5      836
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31261.5      822
21906.0      800
7875.0       741
40320.0      703
21888.0      688
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45000.0      570
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19125.0      471
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30280.5      279
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18040.5      273
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35392.5      269
24412.5      269
23643.0      268
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22527.0      263
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16852.5      252
21919.5      250
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33394.5      248
17775.0      247
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21865.5      245
30717.0      245
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68643.0      231
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36553.5      218
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40500.0      217
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37255.5      204
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36000.0      202
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30204.0      201
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44694.0      188
31018.5      188
37125.0      188
18643.5      187
25578.0      184
            ... 
48523.5        1
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Name: AMT_ANNUITY, Length: 13672, dtype: int64
The formula for determining the present value of an annuity is PV = dollar amount of an individual annuity payment multiplied by P = PMT * [1 – [ (1 / 1+r)^n] / r] where: P = Present value of your annuity stream. PMT = Dollar amount of each payment. r = Discount or interest rate, if we want to impute some values here in this columns we should know payments and interest rate which we dont have, Using central measures of tendency will lead to ambiguity so we may drop those missing entries and its hardly 0.03%.
In [111]:
app.AMT_ANNUITY.isnull().value_counts()
Out[111]:
False    307499
True         12
Name: AMT_ANNUITY, dtype: int64
In [112]:
app[app["AMT_ANNUITY"].isnull()].head()
### Lets think about dropping the rows in this column later
Out[112]:
SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE NAME_TYPE_SUITE NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL OCCUPATION_TYPE CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY WEEKDAY_APPR_PROCESS_START HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY ORGANIZATION_TYPE EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
47531 155054 0 Cash loans M N N 0 180000.0 450000.0 NaN 450000.0 Unaccompanied Commercial associate Incomplete higher Single / not married House / apartment 0.026392 -10668 -2523 -4946.0 -3238 NaN 1 1 1 1 1 0 High skill tech staff 1.0 2 2 WEDNESDAY 13 0 0 0 0 0 0 Business Entity Type 3 NaN 0.626896 0.372334 1.0 0.0 1.0 0.0 -2.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
50035 157917 0 Cash loans F N N 0 94500.0 450000.0 NaN 450000.0 Unaccompanied Working Lower secondary Civil marriage House / apartment 0.035792 -9027 -1270 -3640.0 -741 NaN 1 1 1 1 0 0 Laborers 2.0 2 2 MONDAY 20 0 0 0 0 0 0 Business Entity Type 1 NaN 0.727274 0.468660 0.0 0.0 0.0 0.0 -706.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0
51594 159744 0 Cash loans F N N 0 202500.0 539100.0 NaN 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.046220 -17376 -3950 -11524.0 -831 NaN 1 1 0 1 0 0 Cooking staff 2.0 1 1 WEDNESDAY 15 0 0 0 1 1 1 Self-employed 0.885980 0.738370 0.452534 1.0 0.0 1.0 0.0 -199.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0
55025 163757 0 Cash loans F N N 0 162000.0 296280.0 NaN 225000.0 Unaccompanied State servant Higher education Married House / apartment 0.035792 -11329 -2040 -3195.0 -3069 NaN 1 1 0 1 0 0 Core staff 2.0 2 2 FRIDAY 13 0 0 0 1 1 1 Government 0.336803 0.566316 0.220095 0.0 0.0 0.0 0.0 -2841.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 4.0
59934 169487 0 Cash loans M Y N 0 202500.0 360000.0 NaN 360000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.046220 -19762 -2498 -11285.0 -3305 4.0 1 1 1 1 1 0 Laborers 1.0 1 1 FRIDAY 15 0 1 1 0 1 1 Other 0.647350 0.583947 0.177704 0.0 0.0 0.0 0.0 -743.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 0.0 6.0
In [113]:
### Checking next column 
app.AMT_GOODS_PRICE.isnull().value_counts()
### We have 278 entries i.e 9% of missing entries
Out[113]:
False    307233
True        278
Name: AMT_GOODS_PRICE, dtype: int64
In [114]:
app["AMT_GOODS_PRICE"].mean(), app["AMT_GOODS_PRICE"].median(), app["AMT_GOODS_PRICE"].mode()
Out[114]:
(538396.2074288895, 450000.0, 0    450000.0
 dtype: float64)
In [115]:
app[app["AMT_GOODS_PRICE"].isnull()]
Out[115]:
SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE NAME_TYPE_SUITE NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL OCCUPATION_TYPE CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY WEEKDAY_APPR_PROCESS_START HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY ORGANIZATION_TYPE EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
724 100837 0 Revolving loans F N Y 2 45000.0 135000.0 6750.0 NaN NaN Commercial associate Secondary / secondary special Married House / apartment 0.024610 -10072 -381 -519.0 -1834 NaN 1 1 1 1 0 0 Core staff 4.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 Kindergarten 0.358509 0.378174 NaN 2.0 1.0 2.0 1.0 -2011.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
5937 106955 0 Revolving loans F N N 0 157500.0 450000.0 22500.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.010006 -11993 -2921 -1289.0 -1948 NaN 1 1 1 1 1 1 Private service staff 2.0 2 2 SATURDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.505609 0.464614 0.537070 0.0 0.0 0.0 0.0 -476.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
6425 107494 0 Revolving loans F N N 0 67500.0 202500.0 10125.0 NaN NaN Working Higher education Married House / apartment 0.008474 -9727 -2712 -4132.0 -800 NaN 1 1 1 1 1 0 Accountants 2.0 2 2 WEDNESDAY 18 0 0 0 0 0 0 Trade: type 7 0.706945 0.565849 NaN 1.0 1.0 1.0 0.0 -643.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
6703 107822 0 Revolving loans F N N 1 121500.0 180000.0 9000.0 NaN NaN Working Secondary / secondary special Civil marriage House / apartment 0.011657 -11079 -899 -3765.0 -572 NaN 1 1 1 1 1 0 Managers 3.0 1 1 WEDNESDAY 11 0 0 0 0 0 0 Government NaN 0.645519 0.863363 1.0 0.0 1.0 0.0 -1292.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
7647 108913 0 Revolving loans M N Y 0 180000.0 450000.0 22500.0 NaN NaN Working Higher education Single / not married House / apartment 0.032561 -9986 -1847 -4762.0 -506 NaN 1 1 1 1 1 0 Security staff 1.0 1 1 SATURDAY 18 0 0 0 0 0 0 Construction 0.477288 0.552557 0.661024 1.0 0.0 1.0 0.0 -159.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
7880 109190 1 Revolving loans F N N 0 121500.0 270000.0 13500.0 NaN NaN Working Higher education Single / not married With parents 0.006296 -12390 -640 -6365.0 -3597 NaN 1 1 0 1 1 0 Managers 1.0 3 3 FRIDAY 16 0 0 0 0 0 0 Business Entity Type 3 0.579450 0.407925 0.240541 2.0 0.0 1.0 0.0 -158.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
7995 109322 0 Revolving loans M N Y 0 112500.0 180000.0 9000.0 NaN NaN Working Secondary / secondary special Single / not married House / apartment 0.008230 -12420 -1610 -6443.0 -2463 NaN 1 1 0 1 1 0 Security staff 1.0 2 2 THURSDAY 16 0 1 1 1 1 1 Security NaN 0.078597 0.504681 3.0 0.0 3.0 0.0 -2.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 3.0
10819 112595 0 Revolving loans F N Y 0 90000.0 270000.0 13500.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.022800 -18193 -242 -1462.0 -1731 NaN 1 1 1 1 1 0 NaN 2.0 2 2 SUNDAY 15 0 0 0 0 0 0 Transport: type 4 NaN 0.644126 0.553165 0.0 0.0 0.0 0.0 -1952.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
11287 113148 0 Revolving loans F N Y 4 225000.0 135000.0 6750.0 NaN NaN State servant Secondary / secondary special Single / not married House / apartment 0.003541 -17610 -4662 -8233.0 -1148 NaN 1 1 1 1 1 0 Laborers 5.0 1 1 THURSDAY 12 0 0 0 0 0 0 School NaN 0.419290 0.513694 3.0 0.0 3.0 0.0 -1780.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 2.0
13008 115162 0 Revolving loans F N Y 1 157500.0 450000.0 22500.0 NaN NaN State servant Higher education Married House / apartment 0.046220 -14005 -1404 -2284.0 -2282 NaN 1 1 1 1 1 1 Laborers 3.0 1 1 TUESDAY 14 0 0 0 0 1 1 Housing 0.485762 0.719591 0.470456 1.0 1.0 1.0 1.0 -1837.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
14699 117150 0 Revolving loans M N N 1 135000.0 270000.0 13500.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.024610 -9962 -1676 -4321.0 -2592 NaN 1 1 1 1 1 0 Drivers 3.0 2 2 THURSDAY 9 0 0 0 0 0 0 Military NaN 0.358644 0.465069 6.0 0.0 6.0 0.0 -378.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0.0 0.0 1.0 0.0 1.0 2.0
15953 118618 0 Revolving loans F N N 1 90000.0 270000.0 13500.0 NaN NaN Commercial associate Higher education Married House / apartment 0.008625 -10233 -2216 -4304.0 -2191 NaN 1 1 1 1 1 0 Waiters/barmen staff 3.0 2 2 WEDNESDAY 15 0 0 0 0 0 0 Self-employed 0.355611 0.761872 0.617826 2.0 0.0 2.0 0.0 -1604.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
18935 122080 0 Revolving loans M N Y 0 157500.0 180000.0 9000.0 NaN NaN Working Lower secondary Married House / apartment 0.003813 -9727 -2137 -4394.0 -2301 NaN 1 1 0 1 1 0 Sales staff 2.0 2 2 MONDAY 7 0 0 0 0 1 1 Self-employed 0.121856 0.283778 NaN 0.0 0.0 0.0 0.0 -1528.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
19178 122374 0 Revolving loans F N Y 0 67500.0 180000.0 9000.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.006008 -10777 -3330 -706.0 -873 NaN 1 1 1 1 0 0 Laborers 2.0 2 2 TUESDAY 15 0 0 0 0 1 1 Business Entity Type 2 0.171354 0.600496 NaN 0.0 0.0 0.0 0.0 -473.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
19921 123233 0 Revolving loans F N N 0 90000.0 180000.0 9000.0 NaN NaN Working Secondary / secondary special Single / not married House / apartment 0.004960 -12920 -100 -5986.0 -4363 NaN 1 1 0 1 1 0 Security staff 1.0 2 2 SATURDAY 18 0 0 0 0 0 0 Security 0.096934 0.603896 0.374021 2.0 0.0 2.0 0.0 -564.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 2.0 1.0
21193 124697 0 Revolving loans F N Y 0 202500.0 270000.0 13500.0 NaN NaN Working Higher education Married Co-op apartment 0.025164 -16944 -686 -9883.0 -471 NaN 1 1 0 1 1 1 Laborers 2.0 2 2 THURSDAY 15 0 0 0 0 0 0 Business Entity Type 2 0.486563 0.313315 0.510090 0.0 0.0 0.0 0.0 -1822.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
21338 124859 0 Revolving loans M N Y 0 225000.0 675000.0 33750.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.035792 -17658 -5986 -12170.0 -1212 NaN 1 1 1 1 0 0 Managers 2.0 2 2 TUESDAY 16 0 0 0 0 0 0 Other 0.759925 0.537859 0.255332 0.0 0.0 0.0 0.0 -1455.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
21546 125096 0 Revolving loans F N N 1 45000.0 135000.0 6750.0 NaN NaN Working Secondary / secondary special Civil marriage Municipal apartment 0.031329 -7727 -1159 -7704.0 -381 NaN 1 1 1 1 1 0 Core staff 3.0 2 2 FRIDAY 12 0 0 0 0 1 1 Government NaN 0.491223 NaN 15.0 0.0 15.0 0.0 -245.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
25391 129532 0 Revolving loans M N Y 1 382500.0 270000.0 13500.0 NaN NaN Commercial associate Higher education Single / not married House / apartment 0.046220 -8993 -641 -2332.0 -1676 NaN 1 1 1 1 1 1 Managers 2.0 1 1 SATURDAY 16 0 1 1 0 1 1 Construction NaN 0.633927 0.051329 3.0 0.0 3.0 0.0 -208.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
26398 130692 0 Revolving loans M N N 0 135000.0 495000.0 24750.0 NaN NaN Pensioner Higher education Single / not married House / apartment 0.020713 -22009 365243 -342.0 -1397 NaN 1 0 0 1 1 0 NaN 1.0 3 2 FRIDAY 6 0 0 0 0 0 0 XNA 0.819146 0.005691 NaN 0.0 0.0 0.0 0.0 -462.0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
26736 131077 0 Revolving loans F N Y 0 90000.0 202500.0 10125.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.018634 -14069 -2646 -2821.0 -1141 NaN 1 1 0 1 0 0 Managers 2.0 2 2 THURSDAY 13 0 0 0 0 0 0 Postal 0.510107 0.592876 0.450747 1.0 0.0 1.0 0.0 -1030.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
27003 131385 0 Revolving loans M N Y 0 180000.0 450000.0 22500.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.022625 -16559 -496 -3284.0 -111 NaN 1 1 1 1 1 0 Laborers 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 Other 0.573238 0.561724 0.258084 0.0 0.0 0.0 0.0 -813.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
28201 132778 0 Revolving loans F N Y 0 45000.0 315000.0 15750.0 NaN NaN Pensioner Secondary / secondary special Married House / apartment 0.019101 -23588 365243 -3752.0 -4715 NaN 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 17 0 0 0 0 0 0 XNA 0.777104 0.642666 0.339288 1.0 0.0 1.0 0.0 -1646.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
29059 133761 0 Revolving loans F N Y 2 81000.0 247500.0 12375.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.031329 -11751 -2601 -975.0 -4392 NaN 1 1 1 1 1 0 Core staff 4.0 2 2 THURSDAY 13 0 0 0 0 0 0 Industry: type 3 0.572535 0.640474 0.508287 0.0 0.0 0.0 0.0 -2202.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
30164 135010 0 Revolving loans F N Y 1 121500.0 405000.0 20250.0 NaN NaN Commercial associate Higher education Married House / apartment 0.026392 -10168 -759 -4235.0 -2840 NaN 1 1 1 1 0 0 Core staff 3.0 2 2 SATURDAY 20 0 0 0 0 0 0 School 0.644572 0.709507 0.798137 0.0 0.0 0.0 0.0 -1698.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
30294 135159 0 Revolving loans M N Y 0 225000.0 450000.0 22500.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.022625 -12943 -2214 -7000.0 -4355 NaN 1 1 0 1 0 0 Laborers 2.0 2 2 WEDNESDAY 17 0 0 0 0 1 1 Transport: type 4 0.158424 0.683045 0.689479 0.0 0.0 0.0 0.0 -1525.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
32143 137268 0 Revolving loans M N Y 0 112500.0 180000.0 9000.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.005002 -14063 -1593 -6647.0 -4723 NaN 1 1 1 1 1 0 Drivers 2.0 3 3 MONDAY 11 0 0 0 1 0 1 Business Entity Type 3 NaN 0.598895 0.665855 0.0 0.0 0.0 0.0 -2576.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
36250 141975 0 Revolving loans F N Y 0 90000.0 202500.0 10125.0 NaN NaN Pensioner Secondary / secondary special Widow House / apartment 0.011657 -20277 365243 -11951.0 -2809 NaN 1 0 0 1 1 0 NaN 1.0 1 1 SATURDAY 13 0 0 0 0 0 0 XNA NaN 0.666481 NaN 1.0 0.0 1.0 0.0 -129.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
36721 142532 0 Revolving loans M N Y 1 202500.0 180000.0 9000.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.007114 -13530 -1654 -299.0 -4380 NaN 1 1 1 1 1 0 Laborers 3.0 2 2 WEDNESDAY 16 0 0 0 0 1 1 Construction 0.218806 0.713971 0.340906 1.0 0.0 1.0 0.0 -1511.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
39230 145435 0 Revolving loans F N Y 0 225000.0 382500.0 19125.0 NaN NaN Working Higher education Married House / apartment 0.010006 -17922 -1411 -652.0 -1445 NaN 1 1 1 1 1 0 Core staff 2.0 2 2 FRIDAY 9 0 0 0 0 0 0 School 0.858466 0.660976 0.306202 0.0 0.0 0.0 0.0 -598.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
40571 146988 0 Revolving loans F N Y 0 202500.0 1350000.0 67500.0 NaN NaN Commercial associate Secondary / secondary special Married House / apartment 0.030755 -17986 -4678 -4504.0 -1532 NaN 1 1 1 1 1 0 Sales staff 2.0 2 2 MONDAY 14 0 0 0 0 0 0 Self-employed NaN 0.638104 NaN 0.0 0.0 0.0 0.0 -569.0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
41099 147593 1 Revolving loans F N N 0 58500.0 202500.0 10125.0 NaN NaN Working Secondary / secondary special Married Rented apartment 0.009334 -15092 -623 -7436.0 -4505 NaN 1 1 1 1 0 0 Sales staff 2.0 2 2 SATURDAY 10 0 0 0 1 1 0 Self-employed NaN 0.559127 0.401407 0.0 0.0 0.0 0.0 -387.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
41161 147655 0 Revolving loans M N Y 1 112500.0 202500.0 10125.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.008625 -10766 -2275 -7975.0 -3402 NaN 1 1 0 1 1 0 Core staff 3.0 2 2 FRIDAY 11 0 0 0 0 1 1 Other NaN 0.512021 0.819318 0.0 0.0 0.0 0.0 -1781.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
41982 148605 0 Revolving loans M N Y 0 450000.0 675000.0 33750.0 NaN NaN Commercial associate Lower secondary Unknown Municipal apartment 0.015221 -12396 -1161 -3265.0 -4489 NaN 1 1 1 1 1 0 Managers NaN 2 2 THURSDAY 15 0 1 1 0 1 1 Insurance 0.628564 0.700618 NaN 3.0 0.0 3.0 0.0 -876.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
42024 148658 0 Revolving loans F N Y 0 67500.0 135000.0 6750.0 NaN NaN Working Secondary / secondary special Civil marriage House / apartment 0.009175 -18258 -1024 -1795.0 -1805 NaN 1 1 1 1 1 0 NaN 2.0 2 2 THURSDAY 10 0 0 0 0 0 0 Industry: type 13 NaN 0.525216 0.457900 0.0 0.0 0.0 0.0 -759.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
43630 150507 0 Revolving loans M N Y 0 306000.0 1350000.0 67500.0 NaN NaN Working Higher education Civil marriage House / apartment 0.007330 -13197 -2062 -619.0 -4038 NaN 1 1 1 1 0 0 Managers 2.0 2 2 MONDAY 17 0 0 0 0 0 0 Business Entity Type 3 0.346926 0.697526 0.399676 1.0 0.0 1.0 0.0 -306.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
45657 152889 0 Revolving loans M N Y 2 112500.0 135000.0 6750.0 NaN NaN State servant Secondary / secondary special Married House / apartment 0.016612 -13716 -1466 -8600.0 -4045 NaN 1 1 1 1 0 0 Laborers 4.0 2 2 MONDAY 12 0 0 0 0 1 1 School NaN 0.160135 0.617826 0.0 0.0 0.0 0.0 -577.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
47627 155169 0 Revolving loans F N Y 0 63000.0 135000.0 6750.0 NaN NaN Pensioner Secondary / secondary special Married House / apartment 0.031329 -21555 365243 -10745.0 -3935 NaN 1 0 0 1 1 0 NaN 2.0 2 2 WEDNESDAY 11 0 0 0 0 0 0 XNA NaN 0.652740 0.754406 0.0 0.0 0.0 0.0 -1245.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
50540 158525 1 Revolving loans F N Y 0 90000.0 270000.0 13500.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.031329 -8160 -279 -5946.0 -224 NaN 1 1 0 1 1 0 NaN 2.0 2 2 FRIDAY 15 0 0 0 0 0 0 Business Entity Type 3 NaN 0.190088 0.285180 6.0 2.0 5.0 1.0 -194.0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
52711 161052 0 Revolving loans M N Y 1 135000.0 270000.0 13500.0 NaN NaN Commercial associate Higher education Married House / apartment 0.046220 -13482 -2405 -3893.0 -3559 NaN 1 1 1 1 1 0 Laborers 3.0 1 1 SATURDAY 13 0 1 1 0 1 1 Government NaN 0.703034 0.729567 1.0 0.0 0.0 0.0 -898.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
52955 161332 0 Revolving loans F N Y 0 126000.0 337500.0 16875.0 NaN NaN Working Higher education Married House / apartment 0.008625 -19614 -4330 -9709.0 -2879 NaN 1 1 1 1 0 0 Managers 2.0 2 2 SATURDAY 14 0 0 0 0 0 0 Government NaN 0.654344 0.591977 0.0 0.0 0.0 0.0 -716.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
54045 162615 0 Revolving loans F N Y 0 135000.0 270000.0 13500.0 NaN NaN Pensioner Secondary / secondary special Separated House / apartment 0.002042 -22392 365243 -548.0 -2153 NaN 1 0 0 1 1 0 NaN 1.0 3 3 WEDNESDAY 14 0 0 0 1 0 0 XNA NaN 0.602132 0.554947 0.0 0.0 0.0 0.0 -494.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 7.0
55600 164423 0 Revolving loans F N Y 0 81000.0 202500.0 10125.0 NaN NaN Pensioner Secondary / secondary special Married House / apartment 0.009630 -22061 365243 -4961.0 -4393 NaN 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 10 0 0 0 0 0 0 XNA NaN 0.465713 NaN 0.0 0.0 0.0 0.0 -371.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
56002 164897 1 Revolving loans F N Y 0 180000.0 855000.0 42750.0 NaN NaN Commercial associate Higher education Married House / apartment 0.007020 -20278 -2357 -10157.0 -3195 NaN 1 1 1 1 1 0 Sales staff 2.0 2 2 FRIDAY 10 0 0 0 0 0 0 Self-employed NaN 0.535939 0.124519 0.0 0.0 0.0 0.0 -1291.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
58595 167920 0 Revolving loans F N Y 0 88650.0 247500.0 12375.0 NaN NaN Commercial associate Secondary / secondary special Widow Municipal apartment 0.003818 -17812 -4098 -6219.0 -1339 NaN 1 1 1 1 1 0 Laborers 1.0 2 2 FRIDAY 8 0 0 0 0 0 0 Government NaN 0.143668 NaN 0.0 0.0 0.0 0.0 -523.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
58653 167989 0 Revolving loans M N Y 0 157500.0 180000.0 9000.0 NaN NaN Commercial associate Higher education Single / not married House / apartment 0.046220 -10058 -1534 -3988.0 -2720 NaN 1 1 1 1 1 0 Core staff 1.0 1 1 MONDAY 20 0 0 0 0 1 1 Trade: type 2 0.260805 0.177997 NaN 8.0 0.0 8.0 0.0 -855.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 2.0
60622 170291 0 Revolving loans M N Y 0 135000.0 202500.0 10125.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.018029 -13459 -958 -6473.0 -4135 NaN 1 1 0 1 1 0 Laborers 2.0 3 2 MONDAY 4 0 0 0 0 0 0 Trade: type 2 0.455278 0.316400 0.728141 2.0 0.0 2.0 0.0 -1850.0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
61022 170764 0 Revolving loans F N N 1 112500.0 202500.0 10125.0 NaN NaN Commercial associate Secondary / secondary special Single / not married With parents 0.018850 -11412 -1147 -9431.0 -3379 NaN 1 1 1 1 1 1 Sales staff 2.0 2 2 THURSDAY 11 0 0 0 0 0 0 Self-employed 0.581232 0.712701 0.526295 0.0 0.0 0.0 0.0 -1789.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
61072 170823 0 Revolving loans F N Y 0 67500.0 180000.0 9000.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.009334 -12356 -5016 -3787.0 -4691 NaN 1 1 0 1 0 0 Laborers 2.0 2 2 FRIDAY 12 0 0 0 0 0 0 Medicine NaN 0.690463 0.399676 0.0 0.0 0.0 0.0 -557.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
61618 171462 0 Revolving loans M N Y 0 180000.0 180000.0 9000.0 NaN NaN State servant Higher education Single / not married House / apartment 0.019689 -10286 -3195 -463.0 -2794 NaN 1 1 1 1 1 0 Core staff 1.0 2 2 FRIDAY 8 0 0 0 0 0 0 Police 0.229115 0.433092 0.634706 0.0 0.0 0.0 0.0 -2780.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
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223226 358555 0 Revolving loans F N Y 1 90000.0 135000.0 6750.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.020713 -12233 -4818 -201.0 -3237 NaN 1 1 1 1 1 0 NaN 3.0 3 3 SUNDAY 11 0 0 0 0 0 0 Self-employed NaN 0.109963 0.410103 4.0 0.0 4.0 0.0 -78.0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
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230455 366938 0 Revolving loans M N Y 0 135000.0 270000.0 13500.0 NaN NaN Working Secondary / secondary special Separated House / apartment 0.009175 -16772 -2257 -10834.0 -250 NaN 1 1 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 16 0 0 0 0 1 1 Self-employed NaN 0.769098 0.593718 0.0 0.0 0.0 0.0 -1782.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0
230484 366971 0 Revolving loans F N Y 1 90000.0 135000.0 6750.0 NaN NaN Working Higher education Married House / apartment 0.010147 -12594 -2357 -2894.0 -2723 NaN 1 1 1 1 0 0 Sales staff 3.0 2 2 THURSDAY 12 0 0 0 0 0 0 Self-employed 0.584754 0.790072 0.746300 2.0 0.0 2.0 0.0 -351.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
233542 370507 0 Revolving loans F N Y 0 99000.0 180000.0 9000.0 NaN NaN Working Higher education Single / not married House / apartment 0.007305 -9691 -1052 -4103.0 -2363 NaN 1 1 1 1 1 0 NaN 1.0 3 3 SATURDAY 8 0 0 0 1 1 0 Business Entity Type 3 NaN 0.529527 0.169429 0.0 0.0 0.0 0.0 -1927.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
236260 373660 0 Revolving loans M N Y 0 90000.0 247500.0 12375.0 NaN NaN Pensioner Secondary / secondary special Married House / apartment 0.022625 -20611 365243 -1888.0 -1035 NaN 1 0 0 1 1 0 NaN 2.0 2 2 MONDAY 11 0 0 0 0 0 0 XNA NaN 0.559014 NaN 0.0 0.0 0.0 0.0 -874.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
236624 374077 0 Revolving loans M N N 0 135000.0 180000.0 9000.0 NaN NaN Working Secondary / secondary special Single / not married House / apartment 0.008575 -9561 -2206 -6633.0 -2206 NaN 1 1 1 1 1 0 Laborers 1.0 2 2 TUESDAY 17 0 0 0 0 0 0 Self-employed NaN 0.650118 NaN 1.0 0.0 1.0 0.0 -1412.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0
236974 374479 0 Revolving loans F N N 1 225000.0 202500.0 10125.0 NaN NaN Working Secondary / secondary special Separated With parents 0.020713 -12869 -2118 -2960.0 -503 NaN 1 1 1 1 1 0 Accountants 2.0 3 3 WEDNESDAY 14 0 0 0 0 0 0 Telecom 0.475145 0.548710 NaN 0.0 0.0 0.0 0.0 -1367.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
237074 374594 0 Revolving loans M N Y 3 243000.0 180000.0 9000.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.025164 -13569 -2811 -1052.0 -4434 NaN 1 1 1 1 1 0 Laborers 5.0 2 2 THURSDAY 8 0 0 0 0 0 0 Business Entity Type 2 NaN 0.661696 0.798137 4.0 0.0 4.0 0.0 0.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0
239491 377340 0 Revolving loans F N Y 0 180000.0 405000.0 20250.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.018209 -18894 -6134 -9446.0 -2392 NaN 1 1 1 1 1 0 NaN 2.0 3 3 SATURDAY 8 0 0 0 0 1 1 Military 0.520916 0.576934 0.461482 2.0 0.0 2.0 0.0 -1482.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
239835 377705 0 Revolving loans F N Y 2 225000.0 202500.0 10125.0 NaN NaN Commercial associate Secondary / secondary special Married House / apartment 0.005084 -14050 -680 -4525.0 -4525 NaN 1 1 1 1 1 0 Sales staff 4.0 2 2 SUNDAY 15 0 0 0 0 0 0 Business Entity Type 3 NaN 0.486742 0.609276 1.0 0.0 1.0 0.0 0.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
240223 378214 0 Revolving loans F N Y 0 54000.0 157500.0 7875.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.018634 -19827 -11367 -9770.0 -2794 NaN 1 1 1 1 0 0 NaN 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 School NaN 0.430334 0.132597 1.0 0.0 0.0 0.0 -236.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
242000 380194 0 Revolving loans F N Y 2 90000.0 247500.0 12375.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.006629 -13436 -78 -3787.0 -5239 NaN 1 1 1 1 1 0 Sales staff 4.0 2 2 TUESDAY 10 0 0 0 0 0 0 Self-employed NaN 0.552606 NaN 0.0 0.0 0.0 0.0 -654.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
242020 380214 0 Revolving loans F N N 0 81000.0 135000.0 6750.0 NaN NaN Working Secondary / secondary special Single / not married House / apartment 0.005313 -9295 -1310 -9295.0 -1986 NaN 1 1 1 1 1 0 NaN 1.0 2 2 SATURDAY 10 0 0 0 1 1 0 Business Entity Type 3 NaN 0.652824 0.239226 0.0 0.0 0.0 0.0 -373.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
242307 380511 0 Revolving loans F N Y 0 94500.0 135000.0 6750.0 NaN NaN Pensioner Secondary / secondary special Married House / apartment 0.014520 -20940 365243 -6766.0 -3964 NaN 1 0 0 1 1 0 Cleaning staff 2.0 2 2 SUNDAY 8 0 0 0 0 0 0 XNA NaN 0.673530 0.160489 3.0 1.0 3.0 1.0 -1462.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
242644 380891 0 Revolving loans M N Y 2 112500.0 180000.0 9000.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.010500 -10229 -1468 -893.0 -2628 NaN 1 1 1 1 1 0 Laborers 4.0 3 3 FRIDAY 10 0 1 1 0 1 1 Business Entity Type 3 0.280868 0.285898 0.374021 0.0 0.0 0.0 0.0 -2295.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
243268 381622 0 Revolving loans F N Y 1 292500.0 180000.0 9000.0 NaN NaN State servant Higher education Married House / apartment 0.072508 -13634 -380 -6919.0 -1537 NaN 1 1 1 1 1 1 Core staff 3.0 1 1 SATURDAY 11 0 0 0 0 0 0 School 0.443284 0.731164 0.321735 0.0 0.0 0.0 0.0 -1837.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
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289793 435732 0 Revolving loans F N Y 2 150750.0 180000.0 9000.0 NaN NaN Working Secondary / secondary special Civil marriage House / apartment 0.030755 -13541 -888 -2876.0 -4256 NaN 1 1 1 1 1 1 NaN 4.0 2 2 MONDAY 14 0 0 0 0 0 0 Self-employed 0.580840 0.475399 0.312365 1.0 0.0 1.0 0.0 -1362.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
291372 437555 0 Revolving loans F N N 2 99000.0 135000.0 6750.0 NaN NaN Working Incomplete higher Married With parents 0.008474 -14082 -313 -6914.0 -3354 NaN 1 1 1 1 1 0 NaN 4.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Business Entity Type 3 NaN 0.686397 0.643026 0.0 0.0 0.0 0.0 -2109.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
291384 437568 0 Revolving loans M N N 0 315000.0 675000.0 33750.0 NaN NaN Working Secondary / secondary special Married Municipal apartment 0.020713 -12970 -5181 -562.0 -4210 NaN 1 1 1 1 1 0 NaN 2.0 3 3 FRIDAY 6 0 0 0 0 0 0 Business Entity Type 3 NaN 0.034158 0.551381 0.0 0.0 0.0 0.0 -1184.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
292040 438322 0 Revolving loans F N N 0 90000.0 270000.0 13500.0 NaN NaN Commercial associate Higher education Single / not married House / apartment 0.026392 -9108 -577 -3872.0 -1773 NaN 1 1 0 1 1 0 NaN 1.0 2 2 FRIDAY 18 0 0 0 0 0 0 Business Entity Type 3 0.465968 0.692772 NaN 0.0 0.0 0.0 0.0 -314.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
292120 438413 0 Revolving loans F N Y 2 76500.0 202500.0 10125.0 NaN NaN Working Secondary / secondary special Single / not married House / apartment 0.005002 -14192 -1233 -6516.0 -3316 NaN 1 1 1 1 0 0 NaN 3.0 3 3 TUESDAY 16 0 0 0 0 0 0 Business Entity Type 3 NaN 0.772014 0.772631 0.0 0.0 0.0 0.0 -3380.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
294136 440763 0 Revolving loans F N N 2 135000.0 180000.0 9000.0 NaN NaN State servant Incomplete higher Married Rented apartment 0.008625 -11124 -805 -655.0 -2234 NaN 1 1 1 1 0 0 High skill tech staff 4.0 2 2 FRIDAY 14 0 0 0 0 0 0 Military NaN 0.570468 0.252599 0.0 0.0 0.0 0.0 -491.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
295295 442115 0 Revolving loans F N N 1 90000.0 225000.0 11250.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.009175 -10909 -2201 -4552.0 -3571 NaN 1 1 1 1 1 0 Private service staff 3.0 2 2 SATURDAY 16 0 0 0 0 0 0 Self-employed NaN 0.673338 0.602386 6.0 0.0 6.0 0.0 -598.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0
298004 445250 0 Revolving loans M N Y 2 90000.0 180000.0 9000.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.024610 -11771 -2479 -3872.0 -3913 NaN 1 1 0 1 0 0 Laborers 4.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 Business Entity Type 2 0.151076 0.591392 NaN 1.0 0.0 1.0 0.0 -161.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
300107 447675 0 Revolving loans F N Y 1 405000.0 810000.0 40500.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.010006 -16267 -4206 -5283.0 -3632 NaN 1 1 1 1 1 1 Drivers 3.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Self-employed NaN 0.690557 0.120641 0.0 0.0 0.0 0.0 -532.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
302923 450959 0 Revolving loans F N Y 0 126000.0 337500.0 16875.0 NaN NaN Working Secondary / secondary special Widow House / apartment 0.020713 -23162 -15871 -2388.0 -4284 NaN 1 1 1 1 1 0 NaN 1.0 3 3 WEDNESDAY 12 0 0 0 0 0 0 Business Entity Type 2 NaN 0.635742 0.089631 0.0 0.0 0.0 0.0 -1614.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
303603 451760 0 Revolving loans F N Y 0 135000.0 135000.0 6750.0 NaN NaN Commercial associate Secondary / secondary special Civil marriage Municipal apartment 0.009175 -11236 -2034 -594.0 -2157 NaN 1 1 1 1 0 0 High skill tech staff 2.0 2 2 SUNDAY 17 0 0 0 0 0 0 University NaN 0.703107 0.347418 0.0 0.0 0.0 0.0 -757.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
303621 451781 0 Revolving loans F N Y 0 112500.0 180000.0 9000.0 NaN NaN Working Incomplete higher Civil marriage House / apartment 0.007330 -7836 -434 -5474.0 -492 NaN 1 1 1 1 1 0 Core staff 2.0 2 2 THURSDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.202586 0.475922 NaN 2.0 0.0 2.0 0.0 -618.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
304621 452926 0 Revolving loans F N Y 0 90000.0 247500.0 12375.0 NaN NaN Pensioner Secondary / secondary special Widow House / apartment 0.006008 -20728 365243 -10861.0 -4110 NaN 1 0 0 1 1 0 NaN 1.0 2 2 FRIDAY 12 0 0 0 0 0 0 XNA NaN 0.624966 0.511892 0.0 0.0 0.0 0.0 -562.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 3.0
304678 452992 0 Revolving loans F N Y 2 67500.0 202500.0 10125.0 NaN NaN Working Higher education Married House / apartment 0.025164 -11313 -1470 -1188.0 -3523 NaN 1 1 1 1 0 0 Sales staff 4.0 2 2 WEDNESDAY 11 0 0 0 1 0 1 Business Entity Type 3 NaN 0.449139 0.574447 3.0 1.0 3.0 0.0 -777.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
304784 453120 0 Revolving loans M N Y 1 112500.0 270000.0 13500.0 NaN NaN Working Secondary / secondary special Married House / apartment 0.028663 -16870 -825 -1303.0 -427 NaN 1 1 1 1 1 0 Drivers 3.0 2 2 THURSDAY 10 0 0 0 1 1 1 Self-employed NaN 0.441976 0.459690 3.0 1.0 3.0 1.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
305833 454341 0 Revolving loans F N Y 0 126000.0 270000.0 13500.0 NaN NaN Working Incomplete higher Single / not married With parents 0.015221 -10440 -3444 -4452.0 -3096 NaN 1 1 1 1 1 0 Core staff 1.0 2 2 THURSDAY 10 0 0 0 0 0 0 Self-employed 0.164542 0.480353 0.698668 2.0 0.0 2.0 0.0 -163.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
306126 454683 0 Revolving loans M N Y 0 135000.0 270000.0 13500.0 NaN NaN Commercial associate Secondary / secondary special Married Municipal apartment 0.046220 -15406 -427 -8924.0 -4101 NaN 1 1 1 1 1 0 NaN 2.0 1 1 THURSDAY 16 0 1 1 0 1 1 Security 0.715165 0.675154 0.321735 0.0 0.0 0.0 0.0 -188.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
306273 454852 0 Revolving loans M N Y 2 67500.0 202500.0 10125.0 NaN NaN Working Higher education Married House / apartment 0.020713 -14079 -1648 -2492.0 -4905 NaN 1 1 1 1 1 0 Laborers 4.0 3 3 THURSDAY 6 0 0 0 0 0 0 Self-employed 0.411601 0.608328 NaN 0.0 0.0 0.0 0.0 -1154.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0

If we observe most of NaN values for this column, they have a common contract type i.e Revolving loans are not for purchasing in item, A revolving loan facility is a form of credit issued by a financial institution that provides the borrower with the ability to draw down or withdraw, repay, and withdraw again. A revolving loan is considered a flexible financing tool due to its repayment and re-borrowing accommodations. Since we don't know actual values , we can impute zero value as we dont know...

In [116]:
app["AMT_GOODS_PRICE"].fillna(value = 0, inplace = True)
In [117]:
app.AMT_GOODS_PRICE.isnull().sum()
Out[117]:
0
In [118]:
## Checking next column 'NAME_TYPE_SUITE'
app.NAME_TYPE_SUITE.isna().value_counts()
Out[118]:
False    306219
True       1292
Name: NAME_TYPE_SUITE, dtype: int64
In [119]:
ap1  = app[app["NAME_TYPE_SUITE"].isnull()]
ap1
Out[119]:
SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE NAME_TYPE_SUITE NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL OCCUPATION_TYPE CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY WEEKDAY_APPR_PROCESS_START HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY ORGANIZATION_TYPE EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
64 100076 0 Cash loans M Y N 0 180000.0 315000.0 9679.5 315000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.028663 -13866 -2546 -5448.000000 -4097 1.0 1 1 0 1 0 0 Drivers 2.0 2 2 MONDAY 12 0 0 0 0 0 0 Transport: type 3 NaN 0.584887 0.095070 0.0 0.0 0.0 0.0 -3.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
724 100837 0 Revolving loans F N Y 2 45000.0 135000.0 6750.0 0.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.024610 -10072 -381 -519.000000 -1834 NaN 1 1 1 1 0 0 Core staff 4.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 Kindergarten 0.358509 0.378174 NaN 2.0 1.0 2.0 1.0 -2011.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
1199 101414 0 Cash loans M Y N 0 135000.0 533668.5 34636.5 477000.0 NaN Working Secondary / secondary special Civil marriage House / apartment 0.046220 -21717 -2393 -5486.000000 -4513 5.0 1 1 0 1 0 0 NaN 2.0 1 1 SUNDAY 10 0 0 0 0 0 0 Transport: type 3 NaN 0.756676 0.544235 3.0 0.0 3.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 4.0 0.0 0.0
1669 101954 0 Cash loans F Y N 2 153000.0 1162170.0 30654.0 832500.0 NaN State servant Higher education Separated House / apartment 0.024610 -12975 -1839 -3896.000000 -2179 1.0 1 1 0 1 1 0 Core staff 3.0 2 2 THURSDAY 12 0 0 0 0 0 0 Government 0.581419 0.685813 0.528093 0.0 0.0 0.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
1862 102183 0 Cash loans F Y N 0 121500.0 268659.0 13774.5 243000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.010147 -12870 -2822 -777.000000 -4371 3.0 1 1 1 1 1 0 NaN 2.0 2 2 THURSDAY 11 0 0 0 0 1 1 Business Entity Type 3 0.320031 0.492076 0.178760 2.0 0.0 2.0 0.0 -326.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0
2271 102661 0 Cash loans F N N 0 225000.0 1890000.0 49986.0 1890000.0 NaN Commercial associate Higher education Single / not married House / apartment 0.006008 -13279 -4219 -7092.000000 -4170 NaN 1 1 0 1 0 0 Accountants 1.0 2 2 THURSDAY 18 0 0 0 0 1 1 Other 0.770080 0.724358 0.513694 8.0 0.0 7.0 0.0 -5.0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
2625 103065 0 Cash loans F N Y 1 112500.0 593010.0 16434.0 495000.0 NaN Working Secondary / secondary special Married With parents 0.018850 -8967 -1801 -4433.000000 -577 NaN 1 1 0 1 0 0 Sales staff 3.0 2 2 SATURDAY 10 0 0 0 0 0 0 Trade: type 3 0.264453 0.757400 NaN 0.0 0.0 0.0 0.0 -1695.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
2650 103093 0 Cash loans M Y N 0 360000.0 728460.0 37134.0 675000.0 NaN State servant Higher education Married Municipal apartment 0.018801 -14724 -3045 -8860.000000 -2051 8.0 1 1 0 1 1 0 Core staff 2.0 2 2 SUNDAY 11 0 0 0 0 0 0 School NaN 0.489758 0.217629 3.0 0.0 3.0 0.0 -1569.0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
3012 103519 0 Cash loans F Y N 0 135000.0 675000.0 17806.5 675000.0 NaN Working Higher education Married House / apartment 0.018634 -11086 -2798 -1319.000000 -2221 6.0 1 1 0 1 0 0 NaN 2.0 2 2 TUESDAY 12 0 0 0 0 0 0 Other 0.383369 0.557256 0.558507 1.0 0.0 1.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
3050 103560 0 Cash loans F N N 2 225000.0 1506816.0 45814.5 1350000.0 NaN Commercial associate Higher education Married With parents 0.006852 -11831 -2052 -1856.000000 -1883 NaN 1 1 0 1 0 0 Secretaries 4.0 3 3 MONDAY 9 0 0 0 0 0 0 Security Ministries NaN 0.561702 0.486653 0.0 0.0 0.0 0.0 -3.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
3371 103938 0 Cash loans F N N 1 1350000.0 2410380.0 109053.0 2250000.0 NaN Commercial associate Higher education Married House / apartment 0.072508 -12213 -843 -757.000000 -4132 NaN 1 1 0 1 1 0 Managers 3.0 1 1 SUNDAY 13 0 1 1 0 0 0 Housing NaN 0.724541 0.569149 0.0 0.0 0.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 3.0 0.0 0.0
3718 104339 0 Cash loans F N N 0 225000.0 675000.0 20596.5 675000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.022800 -23895 365243 -11323.000000 -4071 NaN 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 13 0 0 0 0 0 0 XNA NaN 0.485786 NaN 0.0 0.0 0.0 0.0 -2.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
4063 104754 0 Cash loans M Y N 2 112500.0 373311.0 13963.5 283500.0 NaN Commercial associate Higher education Married House / apartment 0.016612 -12918 -3010 -7035.000000 -4683 1.0 1 1 0 1 0 0 Laborers 4.0 2 2 WEDNESDAY 11 0 0 0 0 0 0 Government 0.163414 0.499105 0.598926 1.0 0.0 1.0 0.0 -2.0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
4193 104904 0 Cash loans F N Y 0 157500.0 585000.0 16218.0 585000.0 NaN Commercial associate Higher education Married House / apartment 0.019689 -10197 -191 -874.000000 -1063 NaN 1 1 0 1 0 0 Core staff 2.0 2 2 MONDAY 9 0 0 0 0 0 0 Business Entity Type 3 NaN 0.193682 NaN 1.0 1.0 1.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
4240 104962 0 Cash loans F N N 0 90000.0 327024.0 10575.0 270000.0 NaN Pensioner Secondary / secondary special Widow House / apartment 0.009175 -23955 365243 -2051.000000 -4335 NaN 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 11 0 0 0 0 0 0 XNA NaN 0.747660 0.684828 1.0 0.0 1.0 0.0 -207.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 3.0 3.0
4338 105076 0 Cash loans F Y N 0 315000.0 1762110.0 48586.5 1575000.0 NaN State servant Higher education Married House / apartment 0.007114 -16203 -4981 -3922.000000 -4400 6.0 1 1 0 1 0 0 Core staff 2.0 2 2 THURSDAY 14 0 0 0 0 0 0 Other 0.812395 0.739016 0.701696 4.0 0.0 4.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
4428 105177 0 Cash loans M Y Y 1 195750.0 225000.0 14764.5 225000.0 NaN Commercial associate Higher education Married House / apartment 0.072508 -18015 -2881 -4068.000000 -1543 9.0 1 1 1 1 0 0 Laborers 3.0 1 1 THURSDAY 9 0 0 0 0 0 0 Business Entity Type 3 NaN 0.701292 0.570917 0.0 0.0 0.0 0.0 -584.0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
4669 105460 0 Cash loans F Y N 0 135000.0 755190.0 28116.0 675000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.014464 -10874 -239 -4787.000000 -1199 9.0 1 1 0 1 0 0 NaN 2.0 2 2 MONDAY 9 0 0 0 0 0 0 Business Entity Type 3 0.180042 0.505715 0.355639 1.0 0.0 1.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
4749 105551 0 Cash loans F N Y 0 166500.0 239850.0 22540.5 225000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.018850 -25102 365243 -5011.000000 -5024 NaN 1 0 0 1 0 0 NaN 2.0 2 2 TUESDAY 10 0 0 0 0 0 0 XNA NaN 0.611995 0.767523 3.0 1.0 3.0 1.0 -237.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
4876 105701 0 Cash loans M Y N 0 225000.0 1078200.0 29781.0 900000.0 NaN Working Higher education Married House / apartment 0.008575 -20221 -2292 -9441.000000 -3582 13.0 1 1 0 1 0 0 NaN 2.0 2 2 TUESDAY 14 0 0 0 0 0 0 Bank NaN 0.566939 0.486653 0.0 0.0 0.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
5304 106200 0 Cash loans F N Y 0 117000.0 781920.0 23836.5 675000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.031329 -20019 365243 -9761.000000 -3519 NaN 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 13 0 0 0 0 0 0 XNA NaN 0.348136 0.000527 0.0 0.0 0.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
5786 106766 0 Cash loans M Y N 0 270000.0 1350000.0 35743.5 1350000.0 NaN Working Higher education Civil marriage With parents 0.030755 -11457 -1764 -5239.000000 -3707 6.0 1 1 0 1 0 0 IT staff 2.0 2 2 WEDNESDAY 17 0 0 0 0 0 0 Business Entity Type 3 NaN 0.703121 0.203252 0.0 0.0 0.0 0.0 -527.0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
5804 106785 0 Cash loans F N N 1 157500.0 808650.0 23305.5 675000.0 NaN Commercial associate Higher education Separated With parents 0.046220 -11565 -4567 -6042.000000 -3749 NaN 1 1 0 1 0 0 Managers 2.0 1 1 SATURDAY 11 0 1 1 0 0 0 Business Entity Type 3 0.705921 0.699543 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
5937 106955 0 Revolving loans F N N 0 157500.0 450000.0 22500.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.010006 -11993 -2921 -1289.000000 -1948 NaN 1 1 1 1 1 1 Private service staff 2.0 2 2 SATURDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.505609 0.464614 0.537070 0.0 0.0 0.0 0.0 -476.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
6425 107494 0 Revolving loans F N N 0 67500.0 202500.0 10125.0 0.0 NaN Working Higher education Married House / apartment 0.008474 -9727 -2712 -4132.000000 -800 NaN 1 1 1 1 1 0 Accountants 2.0 2 2 WEDNESDAY 18 0 0 0 0 0 0 Trade: type 7 0.706945 0.565849 NaN 1.0 1.0 1.0 0.0 -643.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
6526 107611 0 Cash loans F Y N 0 112500.0 239850.0 22554.0 225000.0 NaN Working Higher education Single / not married House / apartment 0.011703 -14918 -1273 -14918.000000 -4732 7.0 1 1 0 1 0 0 Drivers 1.0 2 2 FRIDAY 13 0 0 0 0 1 1 Self-employed 0.391393 0.692991 0.159520 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
6694 107812 0 Cash loans F Y Y 0 612000.0 882000.0 26869.5 882000.0 NaN Commercial associate Higher education Single / not married House / apartment 0.007330 -9338 -147 -8013.000000 -1742 6.0 1 1 0 1 0 1 Managers 1.0 2 2 TUESDAY 14 1 1 0 1 0 0 Transport: type 4 0.568105 0.711675 0.417100 1.0 0.0 1.0 0.0 -1085.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
6703 107822 0 Revolving loans F N N 1 121500.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Civil marriage House / apartment 0.011657 -11079 -899 -3765.000000 -572 NaN 1 1 1 1 1 0 Managers 3.0 1 1 WEDNESDAY 11 0 0 0 0 0 0 Government NaN 0.645519 0.863363 1.0 0.0 1.0 0.0 -1292.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
6977 108127 0 Cash loans M Y N 2 112500.0 500211.0 25537.5 463500.0 NaN Working Secondary / secondary special Married House / apartment 0.019101 -12394 -146 -1930.000000 -4233 15.0 1 1 1 1 0 0 Drivers 4.0 2 2 FRIDAY 9 0 0 0 0 0 0 Agriculture 0.221346 0.335050 0.782608 4.0 0.0 4.0 0.0 -2182.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
7021 108174 0 Cash loans F Y N 1 180000.0 753840.0 20016.0 540000.0 NaN State servant Higher education Married House / apartment 0.008866 -14030 -2217 -1109.000000 -1729 8.0 1 1 0 1 0 0 Core staff 3.0 2 2 MONDAY 16 0 0 0 0 0 0 Government NaN 0.767705 0.511892 0.0 0.0 0.0 0.0 -461.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
7122 108291 0 Cash loans F N N 0 112500.0 269550.0 10534.5 225000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.010643 -22954 365243 -587.000000 -4230 NaN 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA NaN 0.564779 0.544235 0.0 0.0 0.0 0.0 -323.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
7157 108329 0 Cash loans M Y N 3 162000.0 1046142.0 28899.0 913500.0 NaN Working Higher education Married House / apartment 0.031329 -12059 -2755 -1719.000000 -4336 16.0 1 1 1 1 0 0 NaN 5.0 2 2 FRIDAY 8 0 0 0 0 0 0 Business Entity Type 2 NaN 0.682538 0.707699 0.0 0.0 0.0 0.0 -2191.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
7288 108489 0 Cash loans F N N 0 157500.0 598500.0 15916.5 598500.0 NaN State servant Secondary / secondary special Single / not married With parents 0.030755 -9621 -1769 -3663.000000 -2234 NaN 1 1 0 1 0 0 Medicine staff 1.0 2 2 THURSDAY 13 0 0 0 1 1 0 Medicine NaN 0.762161 NaN 0.0 0.0 0.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 2.0 0.0 0.0
7647 108913 0 Revolving loans M N Y 0 180000.0 450000.0 22500.0 0.0 NaN Working Higher education Single / not married House / apartment 0.032561 -9986 -1847 -4762.000000 -506 NaN 1 1 1 1 1 0 Security staff 1.0 1 1 SATURDAY 18 0 0 0 0 0 0 Construction 0.477288 0.552557 0.661024 1.0 0.0 1.0 0.0 -159.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
7880 109190 1 Revolving loans F N N 0 121500.0 270000.0 13500.0 0.0 NaN Working Higher education Single / not married With parents 0.006296 -12390 -640 -6365.000000 -3597 NaN 1 1 0 1 1 0 Managers 1.0 3 3 FRIDAY 16 0 0 0 0 0 0 Business Entity Type 3 0.579450 0.407925 0.240541 2.0 0.0 1.0 0.0 -158.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
7995 109322 0 Revolving loans M N Y 0 112500.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.008230 -12420 -1610 -6443.000000 -2463 NaN 1 1 0 1 1 0 Security staff 1.0 2 2 THURSDAY 16 0 1 1 1 1 1 Security NaN 0.078597 0.504681 3.0 0.0 3.0 0.0 -2.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 3.0
8108 109455 0 Cash loans F Y N 0 90000.0 755190.0 35122.5 675000.0 NaN Working Secondary / secondary special Married House / apartment 0.018029 -21177 -6325 -6512.000000 -4355 64.0 1 1 0 1 0 0 NaN 2.0 3 3 FRIDAY 11 0 0 0 0 0 0 School 0.790947 0.059781 0.577969 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
8192 109552 0 Cash loans M Y N 0 450000.0 2220259.5 58698.0 1984500.0 NaN Commercial associate Higher education Married House / apartment 0.022625 -12905 -1597 -720.000000 -938 12.0 1 1 0 1 1 0 Managers 2.0 2 2 WEDNESDAY 13 0 0 0 0 0 0 Business Entity Type 3 NaN 0.646709 0.586740 0.0 0.0 0.0 0.0 -2.0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
8351 109730 0 Cash loans M Y N 0 193500.0 1762110.0 48456.0 1575000.0 NaN Working Secondary / secondary special Civil marriage House / apartment 0.025164 -12298 -1983 -4220.000000 -4612 10.0 1 1 1 1 1 0 Laborers 2.0 2 2 MONDAY 13 0 0 0 0 0 0 Self-employed NaN 0.302288 0.689479 5.0 0.0 5.0 0.0 -2235.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
9264 110775 0 Cash loans F N N 0 112500.0 568800.0 15003.0 450000.0 NaN Commercial associate Secondary / secondary special Single / not married House / apartment 0.009175 -12841 -163 -6841.000000 -4258 NaN 1 1 0 1 0 0 Sales staff 1.0 2 2 SATURDAY 10 0 0 0 0 1 1 Trade: type 7 0.441016 0.688994 0.673830 0.0 0.0 0.0 0.0 -5.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
9769 111373 0 Cash loans F N N 0 90000.0 688500.0 18931.5 688500.0 NaN Commercial associate Secondary / secondary special Single / not married House / apartment 0.018209 -19843 -556 -5442.000000 -3395 NaN 1 1 1 1 0 0 Private service staff 1.0 3 3 FRIDAY 13 0 0 0 0 0 0 Services NaN 0.423625 NaN 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
10819 112595 0 Revolving loans F N Y 0 90000.0 270000.0 13500.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.022800 -18193 -242 -1462.000000 -1731 NaN 1 1 1 1 1 0 NaN 2.0 2 2 SUNDAY 15 0 0 0 0 0 0 Transport: type 4 NaN 0.644126 0.553165 0.0 0.0 0.0 0.0 -1952.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
10965 112764 0 Cash loans F Y Y 0 225000.0 742500.0 69421.5 742500.0 NaN Commercial associate Higher education Single / not married House / apartment 0.046220 -21962 -5344 -12847.000000 -2876 1.0 1 1 0 1 0 0 Core staff 1.0 1 1 TUESDAY 13 0 0 0 0 0 0 Insurance NaN 0.709309 0.661024 3.0 1.0 3.0 0.0 -535.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
11104 112936 1 Cash loans F N N 1 270000.0 1206954.0 31968.0 945000.0 NaN Commercial associate Secondary / secondary special Single / not married With parents 0.046220 -9418 -981 -6695.000000 -2092 NaN 1 1 0 1 0 0 Medicine staff 2.0 1 1 WEDNESDAY 16 0 0 0 0 0 0 Medicine NaN 0.610431 0.499272 0.0 0.0 0.0 0.0 -6.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
11151 112995 0 Cash loans M Y N 1 360000.0 781920.0 23836.5 675000.0 NaN Pensioner Higher education Married House / apartment 0.024610 -20340 365243 -6191.000000 -2277 19.0 1 0 0 1 0 0 NaN 3.0 2 2 WEDNESDAY 16 0 0 0 0 0 0 XNA NaN 0.661877 0.410103 3.0 2.0 3.0 2.0 -2553.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 11.0 0.0 0.0
11287 113148 0 Revolving loans F N Y 4 225000.0 135000.0 6750.0 0.0 NaN State servant Secondary / secondary special Single / not married House / apartment 0.003541 -17610 -4662 -8233.000000 -1148 NaN 1 1 1 1 1 0 Laborers 5.0 1 1 THURSDAY 12 0 0 0 0 0 0 School NaN 0.419290 0.513694 3.0 0.0 3.0 0.0 -1780.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 2.0
11903 113876 0 Cash loans F N N 0 315000.0 1191595.5 31432.5 1191595.5 NaN Working Higher education Single / not married House / apartment 0.010966 -11881 -3905 -4300.000000 -3082 NaN 1 1 1 1 1 0 Managers 1.0 2 2 MONDAY 11 0 0 0 0 0 0 School NaN 0.570715 0.231439 0.0 0.0 0.0 0.0 -1412.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 3.0 0.0 1.0
12024 114022 0 Cash loans F N N 0 148500.0 348264.0 18508.5 315000.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.009175 -22503 -266 -10032.000000 -4437 NaN 1 1 0 1 1 0 High skill tech staff 1.0 2 2 TUESDAY 17 0 0 0 0 0 0 Business Entity Type 3 NaN 0.652973 0.792264 4.0 0.0 4.0 0.0 -247.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
12160 114179 0 Cash loans M Y Y 0 180000.0 269550.0 12618.0 225000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.019689 -19025 -3687 -7493.000000 -2452 15.0 1 1 0 1 0 0 Laborers 2.0 2 2 THURSDAY 12 0 0 0 0 0 0 Self-employed NaN 0.499280 0.551381 1.0 0.0 1.0 0.0 -3480.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
12220 114249 0 Cash loans M N N 0 180000.0 547344.0 17608.5 472500.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.014464 -22355 365243 -677.000000 -1220 NaN 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 4 0 0 0 0 0 0 XNA NaN 0.531063 0.662638 0.0 0.0 0.0 0.0 -16.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
12846 114973 0 Cash loans M Y N 1 261000.0 2377431.0 62847.0 1984500.0 NaN Commercial associate Higher education Married House / apartment 0.007274 -10805 -954 -1409.000000 -3460 7.0 1 1 0 1 1 0 High skill tech staff 3.0 2 2 SUNDAY 13 0 0 0 0 1 1 Industry: type 9 0.583131 0.521468 0.483050 0.0 0.0 0.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
13008 115162 0 Revolving loans F N Y 1 157500.0 450000.0 22500.0 0.0 NaN State servant Higher education Married House / apartment 0.046220 -14005 -1404 -2284.000000 -2282 NaN 1 1 1 1 1 1 Laborers 3.0 1 1 TUESDAY 14 0 0 0 0 1 1 Housing 0.485762 0.719591 0.470456 1.0 1.0 1.0 1.0 -1837.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
13602 115851 0 Cash loans F N N 0 90000.0 286704.0 13284.0 247500.0 NaN Commercial associate Secondary / secondary special Single / not married House / apartment 0.024610 -10055 -674 -4177.000000 -2717 NaN 1 1 0 1 0 0 Core staff 1.0 2 2 WEDNESDAY 12 0 0 0 1 1 0 Business Entity Type 3 NaN 0.667628 0.251239 1.0 1.0 1.0 1.0 -766.0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
13729 115999 0 Cash loans M Y N 0 225000.0 450000.0 29227.5 450000.0 NaN Commercial associate Higher education Married House / apartment 0.026392 -18494 -9247 -6843.000000 -2048 1.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 16 0 0 0 0 0 0 Culture 0.130694 0.690225 0.454321 1.0 0.0 1.0 0.0 -767.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
13935 116248 0 Cash loans M Y N 1 157500.0 1113840.0 51745.5 900000.0 NaN Working Secondary / secondary special Married House / apartment 0.035792 -8456 -368 -1681.000000 -1135 10.0 1 1 1 1 0 0 Drivers 3.0 2 2 TUESDAY 12 0 0 0 1 1 1 Business Entity Type 1 NaN 0.439066 0.519097 5.0 0.0 5.0 0.0 -833.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
14262 116635 0 Cash loans M N N 0 424350.0 2013840.0 53253.0 1800000.0 NaN State servant Higher education Married House / apartment 0.002506 -16100 -845 -2491.000000 -4517 NaN 1 1 0 1 0 0 Core staff 2.0 2 2 FRIDAY 9 0 0 0 0 0 0 Government NaN 0.723208 0.432962 1.0 0.0 1.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
14575 117006 0 Cash loans F N N 0 211500.0 970380.0 25726.5 810000.0 NaN State servant Higher education Married House / apartment 0.002506 -15919 -3654 -351.000000 -3991 NaN 1 1 0 1 0 0 Core staff 2.0 2 2 MONDAY 4 0 0 0 0 0 0 School NaN 0.723703 0.687933 0.0 0.0 0.0 0.0 -37.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0
14576 117008 0 Cash loans M Y Y 3 405000.0 1005120.0 28935.0 720000.0 NaN Commercial associate Higher education Married House / apartment 0.024610 -15450 -7201 -1883.000000 -1320 1.0 1 1 0 1 0 0 NaN 5.0 2 2 MONDAY 16 0 0 0 0 0 0 Industry: type 1 NaN 0.682050 0.323311 0.0 0.0 0.0 0.0 -565.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0
14627 117067 0 Cash loans M Y N 0 202500.0 528633.0 34308.0 472500.0 NaN Commercial associate Secondary / secondary special Widow House / apartment 0.019689 -21911 -14208 -130.000000 -1377 16.0 1 1 0 1 0 0 Laborers 1.0 2 2 FRIDAY 8 0 0 0 0 0 0 Business Entity Type 3 NaN 0.297595 0.798137 4.0 0.0 4.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
14699 117150 0 Revolving loans M N N 1 135000.0 270000.0 13500.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.024610 -9962 -1676 -4321.000000 -2592 NaN 1 1 1 1 1 0 Drivers 3.0 2 2 THURSDAY 9 0 0 0 0 0 0 Military NaN 0.358644 0.465069 6.0 0.0 6.0 0.0 -378.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0.0 0.0 1.0 0.0 1.0 2.0
14997 117511 0 Cash loans M Y N 0 81000.0 225000.0 6822.0 225000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.028663 -23933 365243 -9925.000000 -4073 13.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 12 0 0 0 0 0 0 XNA NaN 0.596229 0.670652 0.0 0.0 0.0 0.0 -3.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
15237 117792 0 Cash loans M N N 0 112500.0 534672.0 14233.5 423000.0 NaN Working Secondary / secondary special Married Municipal apartment 0.010643 -10661 -1536 -10646.000000 -3343 NaN 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 12 0 0 0 0 1 1 Business Entity Type 2 NaN 0.491901 0.404878 0.0 0.0 0.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
15400 117974 0 Cash loans F N N 0 234000.0 970380.0 25726.5 810000.0 NaN Working Incomplete higher Single / not married House / apartment 0.008866 -8526 -1752 -5600.000000 -1178 NaN 1 1 0 1 0 0 NaN 1.0 2 2 SATURDAY 13 0 0 0 0 0 0 Construction NaN 0.425596 0.479449 0.0 0.0 0.0 0.0 -375.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
15953 118618 0 Revolving loans F N N 1 90000.0 270000.0 13500.0 0.0 NaN Commercial associate Higher education Married House / apartment 0.008625 -10233 -2216 -4304.000000 -2191 NaN 1 1 1 1 1 0 Waiters/barmen staff 3.0 2 2 WEDNESDAY 15 0 0 0 0 0 0 Self-employed 0.355611 0.761872 0.617826 2.0 0.0 2.0 0.0 -1604.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
16225 118923 0 Cash loans F N N 0 112500.0 616500.0 17797.5 616500.0 NaN Working Higher education Married House / apartment 0.028663 -10315 -934 -842.000000 -387 NaN 1 1 0 1 0 1 Core staff 2.0 2 2 TUESDAY 14 0 0 0 1 1 0 Trade: type 3 0.312820 0.643570 0.352340 0.0 0.0 0.0 0.0 -764.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
16456 119193 0 Cash loans M Y N 0 112500.0 225000.0 6448.5 225000.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.026392 -10230 -285 -2698.000000 -2902 10.0 1 1 0 1 1 0 Laborers 1.0 2 2 FRIDAY 12 0 0 0 0 1 1 Industry: type 9 NaN 0.563408 0.240541 1.0 1.0 1.0 1.0 -738.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 2.0
16698 119475 0 Cash loans M Y N 2 216000.0 673875.0 17905.5 562500.0 NaN Working Secondary / secondary special Married House / apartment 0.010006 -13258 -2650 -2938.000000 -1626 12.0 1 1 0 1 0 0 Sales staff 4.0 2 1 FRIDAY 16 0 0 0 0 0 0 Industry: type 9 NaN 0.543083 0.652897 1.0 0.0 1.0 0.0 -383.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
16968 119792 0 Cash loans F N Y 2 112500.0 933300.0 26748.0 933300.0 NaN Working Secondary / secondary special Married House / apartment 0.026392 -12542 -2607 -1197.000000 -4795 NaN 1 1 1 1 1 0 Sales staff 4.0 2 2 TUESDAY 12 0 0 0 0 0 0 Self-employed 0.529548 0.700085 NaN 0.0 0.0 0.0 0.0 -529.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
17111 119959 0 Cash loans M N N 0 270000.0 900000.0 46732.5 900000.0 NaN Working Secondary / secondary special Civil marriage House / apartment 0.009334 -9017 -245 -581.000000 -1689 NaN 1 1 0 1 0 0 NaN 2.0 2 2 TUESDAY 16 0 1 1 0 0 0 Business Entity Type 3 NaN 0.285706 0.358951 0.0 0.0 0.0 0.0 -1.0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
17257 120127 0 Cash loans M N N 1 243000.0 1515415.5 40104.0 1354500.0 NaN Commercial associate Higher education Married With parents 0.046220 -10295 -852 -324.000000 -2806 NaN 1 1 0 1 0 0 Core staff 3.0 1 1 MONDAY 17 0 1 1 0 0 0 Trade: type 3 NaN 0.712867 0.612704 0.0 0.0 0.0 0.0 -8.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
17796 120750 0 Cash loans F N N 0 126000.0 781920.0 23706.0 675000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.046220 -22336 365243 -9219.000000 -4095 NaN 1 0 0 1 1 0 NaN 2.0 1 1 FRIDAY 18 0 0 0 0 0 0 XNA NaN 0.675542 NaN 0.0 0.0 0.0 0.0 -4.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
18060 121063 0 Cash loans M Y N 0 247500.0 2250000.0 59355.0 2250000.0 NaN State servant Higher education Single / not married House / apartment 0.026392 -11463 -3800 -1367.000000 -4020 2.0 1 1 1 1 1 0 Drivers 1.0 2 2 SATURDAY 13 0 0 0 0 1 1 Police NaN 0.637927 0.600658 4.0 0.0 4.0 0.0 -8.0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
18276 121319 0 Cash loans M Y N 0 180000.0 779688.0 29025.0 630000.0 NaN Working Secondary / secondary special Married House / apartment 0.022625 -19383 -5341 -3248.000000 -2854 1.0 1 1 0 1 0 0 Laborers 2.0 2 2 WEDNESDAY 15 0 0 0 0 1 1 Transport: type 4 NaN 0.570114 0.605836 5.0 1.0 5.0 1.0 -5.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
18423 121491 0 Cash loans F N N 0 103500.0 513531.0 19161.0 459000.0 NaN Working Secondary / secondary special Married House / apartment 0.018850 -17968 -190 -8956.000000 -1516 NaN 1 1 0 1 0 0 Sales staff 2.0 2 2 WEDNESDAY 16 0 0 0 0 1 1 Trade: type 3 0.502219 0.678301 0.231439 6.0 1.0 6.0 1.0 -76.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0
18856 121988 0 Cash loans M N N 0 135000.0 254700.0 23697.0 225000.0 NaN Working Secondary / secondary special Married House / apartment 0.006629 -17721 -1600 -3036.000000 -1244 NaN 1 1 0 1 0 0 Security staff 2.0 2 2 WEDNESDAY 6 0 0 0 0 0 0 Security NaN 0.591397 0.761026 0.0 0.0 0.0 0.0 -5.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
18935 122080 0 Revolving loans M N Y 0 157500.0 180000.0 9000.0 0.0 NaN Working Lower secondary Married House / apartment 0.003813 -9727 -2137 -4394.000000 -2301 NaN 1 1 0 1 1 0 Sales staff 2.0 2 2 MONDAY 7 0 0 0 0 1 1 Self-employed 0.121856 0.283778 NaN 0.0 0.0 0.0 0.0 -1528.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
19093 122275 0 Cash loans M N N 0 67500.0 315000.0 16132.5 315000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.019101 -24764 365243 -9860.000000 -4261 NaN 1 0 0 1 0 0 NaN 2.0 2 2 SATURDAY 14 0 0 0 0 0 0 XNA NaN 0.777467 0.763640 0.0 0.0 0.0 0.0 -3.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
19166 122362 0 Cash loans M N N 0 90000.0 521280.0 27292.5 450000.0 NaN Working Secondary / secondary special Married House / apartment 0.025164 -14078 -2136 -4327.000000 -4451 NaN 1 1 0 1 1 0 Drivers 2.0 2 2 THURSDAY 9 0 0 0 0 0 0 Transport: type 3 NaN 0.293090 NaN 2.0 1.0 2.0 1.0 -524.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
19178 122374 0 Revolving loans F N Y 0 67500.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.006008 -10777 -3330 -706.000000 -873 NaN 1 1 1 1 0 0 Laborers 2.0 2 2 TUESDAY 15 0 0 0 0 1 1 Business Entity Type 2 0.171354 0.600496 NaN 0.0 0.0 0.0 0.0 -473.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
19547 122792 0 Cash loans F Y N 0 202500.0 986553.0 28404.0 823500.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.035792 -14727 -1162 -3389.000000 -4697 4.0 1 1 0 1 0 0 NaN 2.0 2 2 SATURDAY 16 0 0 0 0 0 0 Construction 0.411021 0.568983 0.216403 4.0 0.0 4.0 0.0 -398.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
19664 122932 0 Cash loans F N N 1 112500.0 497520.0 25402.5 450000.0 NaN Working Higher education Married House / apartment 0.019101 -19042 -1654 -383.000000 -2583 NaN 1 1 0 1 1 0 High skill tech staff 3.0 2 2 TUESDAY 10 0 0 0 0 0 0 Other 0.788333 0.679760 0.586740 1.0 0.0 1.0 0.0 -26.0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 3.0 0.0
19895 123202 0 Cash loans F Y N 0 360000.0 1540588.5 40770.0 1377000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.046220 -9857 -1548 -2947.000000 -2310 3.0 1 1 0 1 1 0 NaN 2.0 1 1 MONDAY 13 0 1 1 0 0 0 Trade: type 7 0.364106 0.722450 0.326475 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
19921 123233 0 Revolving loans F N N 0 90000.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.004960 -12920 -100 -5986.000000 -4363 NaN 1 1 0 1 1 0 Security staff 1.0 2 2 SATURDAY 18 0 0 0 0 0 0 Security 0.096934 0.603896 0.374021 2.0 0.0 2.0 0.0 -564.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 2.0 1.0
20061 123403 0 Cash loans F N N 0 112500.0 254700.0 23944.5 225000.0 NaN Working Higher education Civil marriage House / apartment 0.010966 -9976 -884 -1617.000000 -1827 NaN 1 1 0 1 0 0 Drivers 2.0 2 2 SUNDAY 19 0 0 0 1 1 0 Business Entity Type 3 NaN 0.276008 0.678568 0.0 0.0 0.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
20308 123696 0 Cash loans F N N 0 157500.0 597339.0 30474.0 553500.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.031329 -11957 -2538 -11671.000000 -2848 NaN 1 1 0 1 0 0 Laborers 2.0 2 2 MONDAY 13 0 0 0 0 0 0 Housing 0.521450 0.547020 0.683269 5.0 0.0 5.0 0.0 -2953.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
20560 123975 0 Cash loans M Y N 0 225000.0 1525482.0 42079.5 1363500.0 NaN State servant Secondary / secondary special Married House / apartment 0.030755 -13730 -6096 -42.000000 -3709 1.0 1 1 0 1 0 0 Core staff 2.0 2 2 TUESDAY 17 0 0 0 0 0 0 Security Ministries 0.510805 0.639980 0.667458 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
21193 124697 0 Revolving loans F N Y 0 202500.0 270000.0 13500.0 0.0 NaN Working Higher education Married Co-op apartment 0.025164 -16944 -686 -9883.000000 -471 NaN 1 1 0 1 1 1 Laborers 2.0 2 2 THURSDAY 15 0 0 0 0 0 0 Business Entity Type 2 0.486563 0.313315 0.510090 0.0 0.0 0.0 0.0 -1822.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
21240 124753 0 Cash loans M N N 1 180000.0 900000.0 33354.0 900000.0 NaN Working Incomplete higher Single / not married House / apartment 0.014464 -8573 -199 -3428.000000 -1249 NaN 1 1 0 1 0 0 Laborers 2.0 2 2 FRIDAY 4 0 0 0 0 0 0 Business Entity Type 3 0.284932 0.572316 NaN 1.0 0.0 1.0 0.0 -874.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
21338 124859 0 Revolving loans M N Y 0 225000.0 675000.0 33750.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.035792 -17658 -5986 -12170.000000 -1212 NaN 1 1 1 1 0 0 Managers 2.0 2 2 TUESDAY 16 0 0 0 0 0 0 Other 0.759925 0.537859 0.255332 0.0 0.0 0.0 0.0 -1455.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
21546 125096 0 Revolving loans F N N 1 45000.0 135000.0 6750.0 0.0 NaN Working Secondary / secondary special Civil marriage Municipal apartment 0.031329 -7727 -1159 -7704.000000 -381 NaN 1 1 1 1 1 0 Core staff 3.0 2 2 FRIDAY 12 0 0 0 0 1 1 Government NaN 0.491223 NaN 15.0 0.0 15.0 0.0 -245.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
21888 125498 1 Cash loans F N N 0 157500.0 426600.0 12352.5 337500.0 NaN Working Higher education Married House / apartment 0.022625 -14509 -3672 -6430.000000 -4308 NaN 1 1 0 1 0 0 HR staff 2.0 2 2 FRIDAY 16 0 0 0 0 0 0 Security 0.738645 0.663627 0.186293 0.0 0.0 0.0 0.0 -8.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
21970 125594 0 Cash loans M Y N 0 211500.0 432661.5 16609.5 373500.0 NaN State servant Secondary / secondary special Civil marriage With parents 0.010032 -8945 -460 -3304.000000 -1368 11.0 1 1 0 1 0 0 Laborers 2.0 2 2 WEDNESDAY 8 0 0 0 0 1 1 Military NaN 0.048028 0.492060 3.0 0.0 3.0 0.0 -5.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
22007 125634 1 Cash loans M Y N 0 247500.0 675000.0 17937.0 675000.0 NaN Working Higher education Single / not married House / apartment 0.014520 -9984 -583 -3705.000000 -2652 1.0 1 1 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Business Entity Type 3 NaN 0.448166 0.143758 0.0 0.0 0.0 0.0 -271.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
22175 125821 0 Cash loans F N N 0 112500.0 1546020.0 42642.0 1350000.0 NaN State servant Higher education Married House / apartment 0.019101 -16926 -3603 -2458.000000 -477 NaN 1 1 0 1 1 0 Core staff 2.0 2 2 FRIDAY 16 0 0 0 0 0 0 School 0.752369 0.680393 0.502878 0.0 0.0 0.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
22189 125836 0 Cash loans F N N 0 247500.0 913500.0 24228.0 913500.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.009630 -16892 -4110 -9485.000000 -440 NaN 1 1 0 1 1 0 NaN 2.0 2 2 SATURDAY 15 0 0 0 0 0 0 Business Entity Type 3 NaN 0.364889 0.488455 2.0 0.0 1.0 0.0 -189.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
22597 126294 0 Cash loans F N N 0 495000.0 315000.0 12456.0 315000.0 NaN Commercial associate Higher education Separated House / apartment 0.003541 -13526 -216 -759.000000 -3520 NaN 1 1 0 1 0 0 Accountants 1.0 1 1 THURSDAY 10 0 0 0 0 0 0 Industry: type 9 0.371797 0.508355 0.598926 0.0 0.0 0.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
22652 126360 0 Cash loans F Y Y 0 180000.0 2517300.0 69223.5 2250000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.008230 -21211 -968 -4283.000000 -4435 2.0 1 1 0 1 1 0 NaN 2.0 2 2 TUESDAY 14 0 1 1 0 1 1 Other NaN 0.557876 NaN 0.0 0.0 0.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
22871 126616 0 Cash loans F N N 0 67500.0 254700.0 13446.0 225000.0 NaN Pensioner Secondary / secondary special Widow House / apartment 0.072508 -24712 365243 -5506.000000 -4142 NaN 1 0 0 1 0 0 NaN 1.0 1 1 SATURDAY 14 0 0 0 0 0 0 XNA 0.697454 0.730872 NaN 1.0 0.0 1.0 0.0 -1.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 0.0 2.0
23851 127748 0 Cash loans F N N 0 225000.0 490536.0 25528.5 405000.0 NaN State servant Secondary / secondary special Single / not married House / apartment 0.072508 -17013 -3107 -684.000000 -547 NaN 1 1 0 1 0 0 Core staff 1.0 1 1 SATURDAY 12 0 0 0 0 0 0 School NaN 0.713681 0.283712 7.0 0.0 7.0 0.0 -1047.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
24056 127977 0 Cash loans M Y N 1 315000.0 505332.0 32805.0 477000.0 NaN Working Higher education Single / not married House / apartment 0.007274 -12768 -678 -4372.000000 -4231 1.0 1 1 0 1 0 0 Core staff 2.0 2 2 SATURDAY 16 0 0 0 0 1 1 Business Entity Type 3 0.291615 0.444950 0.331251 0.0 0.0 0.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
24193 128137 0 Cash loans M Y N 0 270000.0 1890000.0 70173.0 1890000.0 NaN Commercial associate Higher education Married House / apartment 0.008625 -12876 -2504 -973.000000 -4667 1.0 1 1 0 1 0 0 Sales staff 2.0 2 2 TUESDAY 16 0 0 0 0 0 0 Transport: type 4 0.456372 0.636127 0.436506 0.0 0.0 0.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
24730 128764 0 Cash loans F N N 0 112500.0 983299.5 41661.0 904500.0 NaN Pensioner Higher education Married House / apartment 0.024610 -20807 365243 -3065.000000 -4359 NaN 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 18 0 0 0 0 0 0 XNA 0.803662 0.591878 0.703203 0.0 0.0 0.0 0.0 -1184.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
24884 128940 0 Cash loans F N Y 0 54000.0 177903.0 7965.0 148500.0 NaN Pensioner Secondary / secondary special Widow House / apartment 0.018801 -23777 365243 -10942.000000 -4594 NaN 1 0 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA 0.722020 0.250118 0.472253 5.0 0.0 5.0 0.0 -1.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
25391 129532 0 Revolving loans M N Y 1 382500.0 270000.0 13500.0 0.0 NaN Commercial associate Higher education Single / not married House / apartment 0.046220 -8993 -641 -2332.000000 -1676 NaN 1 1 1 1 1 1 Managers 2.0 1 1 SATURDAY 16 0 1 1 0 1 1 Construction NaN 0.633927 0.051329 3.0 0.0 3.0 0.0 -208.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
25707 129891 0 Cash loans M N N 0 54000.0 135000.0 5130.0 135000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.018209 -20678 365243 -2613.000000 -4143 NaN 1 0 0 1 0 0 NaN 2.0 3 3 TUESDAY 8 0 0 0 0 0 0 XNA NaN 0.392703 0.331251 0.0 0.0 0.0 0.0 -2.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
25739 129924 0 Cash loans F N Y 0 202500.0 358213.5 18324.0 324000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.022625 -17242 -1779 -5513.000000 -763 NaN 1 1 1 1 1 0 Private service staff 2.0 2 2 TUESDAY 9 0 0 0 0 0 0 Services NaN 0.714449 0.252599 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
26398 130692 0 Revolving loans M N N 0 135000.0 495000.0 24750.0 0.0 NaN Pensioner Higher education Single / not married House / apartment 0.020713 -22009 365243 -342.000000 -1397 NaN 1 0 0 1 1 0 NaN 1.0 3 2 FRIDAY 6 0 0 0 0 0 0 XNA 0.819146 0.005691 NaN 0.0 0.0 0.0 0.0 -462.0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
26450 130751 0 Cash loans M Y N 1 315000.0 1381113.0 38110.5 1206000.0 NaN Working Secondary / secondary special Married House / apartment 0.019689 -12661 -389 -1819.000000 -4456 11.0 1 1 0 1 0 0 Drivers 3.0 2 2 MONDAY 13 0 1 1 0 1 1 Industry: type 5 0.328874 0.585508 0.619528 1.0 0.0 1.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
26555 130867 0 Cash loans F Y N 0 157500.0 720000.0 19120.5 720000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.028663 -12386 -2020 -2143.000000 -2111 10.0 1 1 0 1 0 0 Laborers 2.0 2 2 SUNDAY 10 0 0 0 1 1 0 Construction 0.578404 0.654394 NaN 0.0 0.0 0.0 0.0 -5.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
26736 131077 0 Revolving loans F N Y 0 90000.0 202500.0 10125.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.018634 -14069 -2646 -2821.000000 -1141 NaN 1 1 0 1 0 0 Managers 2.0 2 2 THURSDAY 13 0 0 0 0 0 0 Postal 0.510107 0.592876 0.450747 1.0 0.0 1.0 0.0 -1030.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
26791 131141 0 Cash loans F N N 0 112500.0 550080.0 14638.5 360000.0 NaN Commercial associate Higher education Single / not married House / apartment 0.005313 -10048 -476 -4367.000000 -2703 NaN 1 1 0 1 0 0 Sales staff 1.0 2 2 MONDAY 15 1 1 0 1 0 0 Trade: type 1 0.179393 0.671623 NaN 0.0 0.0 0.0 0.0 -246.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
26809 131160 0 Cash loans M Y N 1 225000.0 1260000.0 36238.5 1260000.0 NaN Working Higher education Married House / apartment 0.022625 -12129 -697 -6276.000000 -2277 3.0 1 1 0 1 1 0 NaN 3.0 2 2 SUNDAY 15 0 0 0 0 0 0 Trade: type 7 NaN 0.671358 0.479449 2.0 0.0 2.0 0.0 -512.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
27003 131385 0 Revolving loans M N Y 0 180000.0 450000.0 22500.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.022625 -16559 -496 -3284.000000 -111 NaN 1 1 1 1 1 0 Laborers 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 Other 0.573238 0.561724 0.258084 0.0 0.0 0.0 0.0 -813.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
27718 132228 0 Cash loans M N N 0 112500.0 288873.0 15376.5 238500.0 NaN Working Higher education Separated House / apartment 0.022625 -16836 -906 -2894.000000 -373 NaN 1 1 0 1 0 0 Security staff 1.0 2 2 THURSDAY 12 0 0 0 1 1 0 Security NaN 0.528879 0.497469 0.0 0.0 0.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0 1.0 0.0 0.0 0.0 0.0
27964 132511 0 Cash loans F Y N 0 90000.0 555273.0 14778.0 463500.0 NaN Working Higher education Married House / apartment 0.018634 -12515 -2442 -1866.000000 -4732 8.0 1 1 0 1 0 0 High skill tech staff 2.0 2 2 FRIDAY 15 0 0 0 0 0 0 Other 0.327101 0.526110 0.610991 5.0 1.0 5.0 1.0 -3.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
28016 132567 0 Cash loans M N N 0 180000.0 630000.0 32134.5 630000.0 NaN Working Higher education Civil marriage House / apartment 0.008575 -20378 -1310 -2805.000000 -3024 NaN 1 1 0 1 0 0 High skill tech staff 2.0 2 2 SATURDAY 11 0 0 0 0 0 0 Transport: type 2 NaN 0.675192 0.716570 0.0 0.0 0.0 0.0 -111.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 3.0 1.0
28201 132778 0 Revolving loans F N Y 0 45000.0 315000.0 15750.0 0.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.019101 -23588 365243 -3752.000000 -4715 NaN 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 17 0 0 0 0 0 0 XNA 0.777104 0.642666 0.339288 1.0 0.0 1.0 0.0 -1646.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
28389 132995 0 Cash loans F N N 1 135000.0 310671.0 15912.0 256500.0 NaN Commercial associate Secondary / secondary special Separated House / apartment 0.020246 -15984 -5277 -1233.000000 -5622 NaN 1 1 1 1 1 0 NaN 2.0 3 3 TUESDAY 9 0 0 0 0 0 0 Industry: type 5 NaN 0.362425 0.360613 0.0 0.0 0.0 0.0 -2370.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
29059 133761 0 Revolving loans F N Y 2 81000.0 247500.0 12375.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.031329 -11751 -2601 -975.000000 -4392 NaN 1 1 1 1 1 0 Core staff 4.0 2 2 THURSDAY 13 0 0 0 0 0 0 Industry: type 3 0.572535 0.640474 0.508287 0.0 0.0 0.0 0.0 -2202.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
29217 133934 0 Cash loans F N N 0 144000.0 247275.0 18225.0 225000.0 NaN Commercial associate Higher education Separated Rented apartment 0.030755 -13691 -293 -1818.000000 -5268 NaN 1 1 0 1 0 0 Laborers 1.0 2 2 SATURDAY 11 0 0 0 0 0 0 Military 0.571091 0.651555 0.222581 0.0 0.0 0.0 0.0 -910.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
29223 133944 0 Cash loans M Y N 0 90000.0 436032.0 22707.0 360000.0 NaN Commercial associate Secondary / secondary special Separated House / apartment 0.035792 -17339 -4518 -26.000000 -764 10.0 1 1 0 1 0 0 Laborers 1.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Other NaN 0.628721 0.155689 0.0 0.0 0.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
29561 134323 0 Cash loans F N N 3 193500.0 1125000.0 41823.0 1125000.0 NaN Commercial associate Higher education Married House / apartment 0.007274 -13390 -2267 -3891.000000 -2719 NaN 1 1 0 1 0 1 Core staff 5.0 2 2 THURSDAY 18 0 0 0 0 0 0 Bank 0.219308 0.365123 0.576209 6.0 0.0 6.0 0.0 -68.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
29611 134381 0 Cash loans F Y N 0 90000.0 239850.0 24336.0 225000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.019689 -11014 -3663 -1253.000000 -2540 9.0 1 1 0 1 0 0 Laborers 2.0 2 2 WEDNESDAY 15 0 0 0 0 0 0 Trade: type 1 NaN 0.345832 0.524496 1.0 1.0 1.0 1.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
29843 134646 0 Cash loans M N N 0 90000.0 979992.0 25848.0 702000.0 NaN Working Secondary / secondary special Separated House / apartment 0.018801 -16752 -999 -2548.000000 -277 NaN 1 1 0 1 1 0 High skill tech staff 1.0 2 2 SATURDAY 10 0 1 1 0 1 1 Business Entity Type 3 NaN 0.559030 NaN 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
29902 134713 0 Cash loans M N Y 2 135000.0 900000.0 28390.5 900000.0 NaN Working Secondary / secondary special Married House / apartment 0.028663 -15467 -2379 -2494.000000 -4572 NaN 1 1 0 1 0 0 Managers 4.0 2 2 FRIDAY 14 0 0 0 0 0 0 Other 0.579167 0.579094 NaN 1.0 0.0 1.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
30164 135010 0 Revolving loans F N Y 1 121500.0 405000.0 20250.0 0.0 NaN Commercial associate Higher education Married House / apartment 0.026392 -10168 -759 -4235.000000 -2840 NaN 1 1 1 1 0 0 Core staff 3.0 2 2 SATURDAY 20 0 0 0 0 0 0 School 0.644572 0.709507 0.798137 0.0 0.0 0.0 0.0 -1698.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
30294 135159 0 Revolving loans M N Y 0 225000.0 450000.0 22500.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.022625 -12943 -2214 -7000.000000 -4355 NaN 1 1 0 1 0 0 Laborers 2.0 2 2 WEDNESDAY 17 0 0 0 0 1 1 Transport: type 4 0.158424 0.683045 0.689479 0.0 0.0 0.0 0.0 -1525.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
30502 135402 0 Cash loans F N N 0 90000.0 276277.5 10368.0 238500.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.016612 -22789 365243 -15181.000000 -4177 NaN 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 14 0 0 0 0 0 0 XNA NaN 0.095598 0.621226 0.0 0.0 0.0 0.0 -2.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
30611 135529 0 Cash loans F Y N 0 405000.0 675000.0 30631.5 675000.0 NaN Working Higher education Married House / apartment 0.010006 -16721 -1482 -1432.000000 -265 0.0 1 1 0 1 0 0 Accountants 2.0 2 1 SATURDAY 11 0 0 0 0 0 0 Industry: type 9 NaN 0.716030 0.546023 4.0 0.0 4.0 0.0 -128.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
30891 135860 0 Cash loans M Y N 2 247500.0 348264.0 20866.5 315000.0 NaN Commercial associate Incomplete higher Married House / apartment 0.032561 -12811 -930 -6922.000000 -4325 2.0 1 1 0 1 0 0 Laborers 4.0 1 1 MONDAY 10 0 1 1 0 1 1 Business Entity Type 3 NaN 0.652844 0.593718 0.0 0.0 0.0 0.0 -1671.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
31545 136590 0 Cash loans F N N 0 360000.0 942300.0 26041.5 675000.0 NaN Working Secondary / secondary special Married House / apartment 0.046220 -10590 -308 -655.000000 -2460 NaN 1 1 0 1 1 0 Core staff 2.0 1 1 FRIDAY 16 0 0 0 0 0 0 Kindergarten 0.542131 0.726162 0.649620 1.0 0.0 1.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
32023 137135 0 Cash loans F Y N 0 117000.0 904500.0 26050.5 904500.0 NaN Working Higher education Married House / apartment 0.008575 -10368 -2204 -10339.000000 -474 2.0 1 1 0 1 0 0 Core staff 2.0 2 2 SATURDAY 17 0 0 0 0 0 0 Government 0.265428 0.639980 0.563835 0.0 0.0 0.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
32042 137156 0 Cash loans F N N 0 157500.0 755190.0 28894.5 675000.0 NaN Commercial associate Higher education Widow Rented apartment 0.025164 -18375 -6375 -3576.000000 -1912 NaN 1 1 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 School 0.798075 0.691495 0.654529 4.0 0.0 4.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
32099 137220 0 Cash loans M Y N 1 337500.0 3150000.0 79632.0 3150000.0 NaN Commercial associate Higher education Married House / apartment 0.019101 -15842 -344 -7556.000000 -4298 1.0 1 1 1 1 0 0 Managers 3.0 2 2 FRIDAY 14 0 0 0 0 1 1 Business Entity Type 3 NaN 0.609989 0.184116 2.0 0.0 2.0 0.0 -1.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
32143 137268 0 Revolving loans M N Y 0 112500.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.005002 -14063 -1593 -6647.000000 -4723 NaN 1 1 1 1 1 0 Drivers 2.0 3 3 MONDAY 11 0 0 0 1 0 1 Business Entity Type 3 NaN 0.598895 0.665855 0.0 0.0 0.0 0.0 -2576.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
32248 137390 0 Cash loans F N N 0 371925.0 1762110.0 46611.0 1575000.0 NaN Commercial associate Higher education Civil marriage House / apartment 0.046220 -19649 -1145 -1367.000000 -3150 NaN 1 1 1 1 0 1 NaN 2.0 1 1 TUESDAY 19 1 0 1 1 1 1 Business Entity Type 3 0.845793 0.733560 0.360613 0.0 0.0 0.0 0.0 -1004.0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 3.0 2.0
32539 137716 0 Cash loans F N Y 0 90000.0 152820.0 8118.0 135000.0 NaN Pensioner Secondary / secondary special Single / not married House / apartment 0.025164 -20801 365243 -8190.000000 -4085 NaN 1 0 0 1 0 0 NaN 1.0 2 2 FRIDAY 14 0 0 0 0 0 0 XNA NaN 0.052364 0.558507 0.0 0.0 0.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 0.0
32700 137899 0 Cash loans F N Y 0 135000.0 755190.0 33394.5 675000.0 NaN Pensioner Secondary / secondary special Widow House / apartment 0.072508 -23826 365243 -13805.000000 -4904 NaN 1 0 0 1 1 0 NaN 1.0 1 1 SATURDAY 17 0 0 0 0 0 0 XNA NaN 0.699502 0.802745 2.0 1.0 2.0 1.0 -2452.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
33165 138428 0 Revolving loans M N Y 1 76500.0 225000.0 11250.0 360000.0 NaN Pensioner Secondary / secondary special Single / not married Municipal apartment 0.031329 -18442 -5111 -11112.000000 -1979 NaN 1 1 1 1 1 0 NaN 2.0 2 2 THURSDAY 10 0 0 0 0 0 0 Industry: type 9 NaN 0.162192 0.292588 8.0 0.0 8.0 0.0 -711.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
33182 138446 0 Cash loans F N N 0 67500.0 364500.0 9742.5 364500.0 NaN State servant Higher education Single / not married With parents 0.010556 -8487 -139 -3360.000000 -1176 NaN 1 1 0 1 0 0 Core staff 1.0 3 3 FRIDAY 13 0 0 0 1 1 0 Government 0.496843 0.177936 0.750375 3.0 2.0 3.0 2.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
34137 139554 0 Cash loans M Y N 0 135000.0 571446.0 15070.5 477000.0 NaN Commercial associate Higher education Married House / apartment 0.016612 -15451 -2738 -9486.000000 -4293 8.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 18 0 0 0 0 0 0 Business Entity Type 3 NaN 0.702993 0.709189 0.0 0.0 0.0 0.0 -8.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
34384 139842 0 Cash loans M N Y 0 225000.0 900000.0 41706.0 900000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.072508 -15830 -2469 -8209.000000 -4326 NaN 1 1 0 1 1 0 Drivers 2.0 1 1 TUESDAY 15 0 0 0 0 0 0 Bank NaN 0.569696 0.726711 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
34815 140342 0 Cash loans F N N 0 112500.0 375322.5 14814.0 324000.0 NaN Commercial associate Secondary / secondary special Single / not married House / apartment 0.007020 -14559 -2870 -6222.000000 -5088 NaN 1 1 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 13 0 0 0 0 0 0 Business Entity Type 3 NaN 0.514157 0.332851 4.0 1.0 4.0 1.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
34862 140397 0 Cash loans F N N 2 166500.0 450000.0 35554.5 450000.0 NaN State servant Higher education Married Municipal apartment 0.009334 -13543 -3848 -1212.000000 -4190 NaN 1 1 1 1 0 0 NaN 4.0 2 2 FRIDAY 11 0 0 0 0 0 0 Other 0.523335 0.390155 0.636376 0.0 0.0 0.0 0.0 -2659.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
35928 141619 0 Cash loans F N N 0 112500.0 904608.0 23994.0 648000.0 NaN Working Secondary / secondary special Married House / apartment 0.008019 -17250 -4483 -11236.000000 -722 NaN 1 1 0 1 0 0 Laborers 2.0 2 2 MONDAY 16 0 0 0 0 0 0 Business Entity Type 3 NaN 0.359333 0.567379 0.0 0.0 0.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
36250 141975 0 Revolving loans F N Y 0 90000.0 202500.0 10125.0 0.0 NaN Pensioner Secondary / secondary special Widow House / apartment 0.011657 -20277 365243 -11951.000000 -2809 NaN 1 0 0 1 1 0 NaN 1.0 1 1 SATURDAY 13 0 0 0 0 0 0 XNA NaN 0.666481 NaN 1.0 0.0 1.0 0.0 -129.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
36721 142532 0 Revolving loans M N Y 1 202500.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.007114 -13530 -1654 -299.000000 -4380 NaN 1 1 1 1 1 0 Laborers 3.0 2 2 WEDNESDAY 16 0 0 0 0 1 1 Construction 0.218806 0.713971 0.340906 1.0 0.0 1.0 0.0 -1511.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
36811 142633 0 Cash loans F N N 0 90000.0 321574.5 17100.0 265500.0 NaN Working Secondary / secondary special Civil marriage House / apartment 0.009657 -8498 -153 -3891.000000 -1168 NaN 1 1 0 1 0 0 NaN 2.0 2 2 TUESDAY 12 0 0 0 0 1 1 Business Entity Type 3 0.642437 0.543707 NaN 0.0 0.0 0.0 0.0 -1216.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
37081 142951 0 Cash loans F N Y 0 58050.0 417024.0 18499.5 360000.0 NaN Pensioner Secondary / secondary special Widow House / apartment 0.031329 -23784 365243 -14834.000000 -4099 NaN 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 10 0 0 0 0 0 0 XNA NaN 0.259808 NaN 3.0 0.0 3.0 0.0 -420.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
38054 144069 0 Cash loans M Y N 0 180000.0 1206000.0 34690.5 1206000.0 NaN Working Secondary / secondary special Married House / apartment 0.016612 -14956 -426 -2834.000000 -4093 10.0 1 1 0 1 0 0 Drivers 2.0 2 2 TUESDAY 15 0 0 0 0 0 0 Self-employed 0.211391 0.644397 0.360613 0.0 0.0 0.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
38198 144235 0 Cash loans F N Y 0 157500.0 360000.0 12852.0 360000.0 NaN Working Secondary / secondary special Widow House / apartment 0.026392 -20006 -1799 -44.000000 -3250 NaN 1 1 0 1 1 0 Sales staff 1.0 2 2 THURSDAY 13 0 0 0 1 1 0 Self-employed NaN 0.666097 0.394495 0.0 0.0 0.0 0.0 -1514.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 3.0 4.0
38602 144711 0 Cash loans M Y N 0 225000.0 879480.0 23328.0 630000.0 NaN Working Higher education Married House / apartment 0.046220 -21209 -5750 -12193.000000 -4581 12.0 1 1 0 1 1 0 Security staff 2.0 1 1 TUESDAY 16 0 0 0 0 0 0 Kindergarten NaN 0.746060 0.700184 1.0 0.0 1.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
38750 144882 0 Cash loans M Y Y 0 270000.0 570708.0 15691.5 373500.0 NaN Working Incomplete higher Married House / apartment 0.016612 -10155 -305 -2023.000000 -2258 4.0 1 1 1 1 1 0 Drivers 2.0 2 2 TUESDAY 14 0 0 0 1 1 1 Other NaN 0.643143 0.109626 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
39230 145435 0 Revolving loans F N Y 0 225000.0 382500.0 19125.0 0.0 NaN Working Higher education Married House / apartment 0.010006 -17922 -1411 -652.000000 -1445 NaN 1 1 1 1 1 0 Core staff 2.0 2 2 FRIDAY 9 0 0 0 0 0 0 School 0.858466 0.660976 0.306202 0.0 0.0 0.0 0.0 -598.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
39303 145517 0 Cash loans M N N 0 141727.5 675000.0 18562.5 675000.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.018634 -10871 -1301 -3356.000000 -3551 NaN 1 1 1 1 1 0 Laborers 1.0 2 2 FRIDAY 15 0 0 0 0 1 1 Business Entity Type 3 0.405517 0.577025 0.669057 2.0 1.0 2.0 0.0 -2630.0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
39544 145784 0 Cash loans M Y N 0 216000.0 2250000.0 64615.5 2250000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.005084 -10471 -1278 -4519.000000 -3149 2.0 1 1 1 1 0 0 Drivers 2.0 2 2 MONDAY 12 0 0 0 0 1 1 Self-employed NaN 0.438070 NaN 1.0 0.0 1.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0.0 0.0 0.0 0.0 0.0 0.0
40571 146988 0 Revolving loans F N Y 0 202500.0 1350000.0 67500.0 0.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.030755 -17986 -4678 -4504.000000 -1532 NaN 1 1 1 1 1 0 Sales staff 2.0 2 2 MONDAY 14 0 0 0 0 0 0 Self-employed NaN 0.638104 NaN 0.0 0.0 0.0 0.0 -569.0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
40969 147446 0 Cash loans F N N 0 157500.0 1125000.0 29808.0 1125000.0 NaN Working Higher education Married House / apartment 0.010643 -21131 -7513 -4333.000000 -4291 NaN 1 1 0 1 0 0 IT staff 2.0 2 2 SATURDAY 11 0 0 0 0 0 0 Other NaN 0.763550 0.353988 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
41099 147593 1 Revolving loans F N N 0 58500.0 202500.0 10125.0 0.0 NaN Working Secondary / secondary special Married Rented apartment 0.009334 -15092 -623 -7436.000000 -4505 NaN 1 1 1 1 0 0 Sales staff 2.0 2 2 SATURDAY 10 0 0 0 1 1 0 Self-employed NaN 0.559127 0.401407 0.0 0.0 0.0 0.0 -387.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
41110 147604 0 Cash loans M N Y 0 225000.0 436500.0 19354.5 436500.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.030755 -19533 365243 -1426.000000 -3084 NaN 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 12 0 0 0 0 0 0 XNA NaN 0.615851 0.385915 8.0 0.0 8.0 0.0 -222.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
41161 147655 0 Revolving loans M N Y 1 112500.0 202500.0 10125.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.008625 -10766 -2275 -7975.000000 -3402 NaN 1 1 0 1 1 0 Core staff 3.0 2 2 FRIDAY 11 0 0 0 0 1 1 Other NaN 0.512021 0.819318 0.0 0.0 0.0 0.0 -1781.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
41543 148099 0 Cash loans M N N 1 160294.5 824823.0 21888.0 688500.0 NaN Working Secondary / secondary special Married Rented apartment 0.031329 -9658 -573 -1980.000000 -2351 NaN 1 1 0 1 0 0 Laborers 3.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.274296 0.503916 0.549597 0.0 0.0 0.0 0.0 -6.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
41982 148605 0 Revolving loans M N Y 0 450000.0 675000.0 33750.0 0.0 NaN Commercial associate Lower secondary Unknown Municipal apartment 0.015221 -12396 -1161 -3265.000000 -4489 NaN 1 1 1 1 1 0 Managers NaN 2 2 THURSDAY 15 0 1 1 0 1 1 Insurance 0.628564 0.700618 NaN 3.0 0.0 3.0 0.0 -876.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
42024 148658 0 Revolving loans F N Y 0 67500.0 135000.0 6750.0 0.0 NaN Working Secondary / secondary special Civil marriage House / apartment 0.009175 -18258 -1024 -1795.000000 -1805 NaN 1 1 1 1 1 0 NaN 2.0 2 2 THURSDAY 10 0 0 0 0 0 0 Industry: type 13 NaN 0.525216 0.457900 0.0 0.0 0.0 0.0 -759.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
42750 149492 0 Cash loans F N N 0 157500.0 490536.0 15003.0 405000.0 NaN Pensioner Higher education Married House / apartment 0.022800 -23775 365243 -2641.000000 -3006 NaN 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 9 0 0 0 0 0 0 XNA 0.664525 0.497372 0.746300 0.0 0.0 0.0 0.0 -2.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
42788 149537 0 Cash loans M Y Y 0 180000.0 500211.0 29916.0 463500.0 NaN Commercial associate Higher education Civil marriage With parents 0.010032 -9859 -773 -9846.000000 -2522 14.0 1 1 0 1 0 0 Sales staff 2.0 2 2 FRIDAY 5 0 0 0 0 0 0 Construction 0.763645 0.402034 0.396220 2.0 0.0 2.0 0.0 -708.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
43209 150015 0 Cash loans M Y N 0 270000.0 781920.0 23836.5 675000.0 NaN Pensioner Higher education Married House / apartment 0.018801 -23942 365243 -54.000000 -4087 17.0 1 0 0 1 1 0 NaN 2.0 2 2 SUNDAY 11 0 0 0 0 0 0 XNA NaN 0.452187 0.197475 0.0 0.0 0.0 0.0 -1300.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
43374 150210 0 Cash loans F Y N 0 157500.0 755190.0 28116.0 675000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.008575 -14809 -252 -2356.000000 -2588 7.0 1 1 0 1 1 0 Sales staff 2.0 2 2 THURSDAY 17 0 0 0 1 1 0 Business Entity Type 3 0.433849 0.631218 0.588488 1.0 0.0 1.0 0.0 -5.0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
43566 150433 0 Cash loans F N N 1 90000.0 785398.5 30861.0 702000.0 NaN Commercial associate Higher education Married House / apartment 0.011703 -15993 -927 -7736.000000 -4268 NaN 1 1 0 1 0 0 High skill tech staff 3.0 2 2 MONDAY 16 0 0 0 1 1 0 Business Entity Type 3 NaN 0.677834 0.368969 0.0 0.0 0.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
43630 150507 0 Revolving loans M N Y 0 306000.0 1350000.0 67500.0 0.0 NaN Working Higher education Civil marriage House / apartment 0.007330 -13197 -2062 -619.000000 -4038 NaN 1 1 1 1 0 0 Managers 2.0 2 2 MONDAY 17 0 0 0 0 0 0 Business Entity Type 3 0.346926 0.697526 0.399676 1.0 0.0 1.0 0.0 -306.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
43757 150661 0 Cash loans M N N 0 351000.0 521280.0 19854.0 450000.0 NaN Commercial associate Higher education Civil marriage House / apartment 0.030755 -17916 -912 -2205.000000 -1460 NaN 1 1 0 1 0 0 Laborers 2.0 2 2 WEDNESDAY 17 0 0 0 0 0 0 Industry: type 7 NaN 0.605474 0.365617 1.0 1.0 1.0 1.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
44047 151013 0 Cash loans M N N 0 166500.0 953460.0 63508.5 900000.0 NaN Working Higher education Married House / apartment 0.035792 -20001 -137 -1234.000000 -3551 NaN 1 1 0 1 0 0 Core staff 2.0 2 2 TUESDAY 12 0 0 0 0 0 0 Business Entity Type 2 NaN 0.261413 0.588488 0.0 0.0 0.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
44164 151161 0 Cash loans F N Y 0 382500.0 765000.0 39739.5 765000.0 NaN Commercial associate Higher education Married House / apartment 0.046220 -15145 -2132 -291.000000 -4529 NaN 1 1 0 1 0 0 Managers 2.0 1 1 WEDNESDAY 15 0 1 1 0 0 0 Business Entity Type 3 0.760719 0.735066 0.235311 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
44898 152012 0 Cash loans M N N 1 121500.0 668304.0 24894.0 540000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.008625 -11231 -921 -2423.000000 -3674 NaN 1 1 0 1 0 0 Security staff 3.0 2 2 SATURDAY 11 0 1 1 1 0 0 Business Entity Type 3 0.061092 0.607301 0.584990 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
44973 152097 0 Cash loans F N N 0 108000.0 1166724.0 30906.0 913500.0 NaN Working Secondary / secondary special Married With parents 0.018850 -15038 -8457 -9024.000000 -4537 NaN 1 1 1 1 0 0 High skill tech staff 2.0 2 2 MONDAY 14 0 0 0 0 0 0 Industry: type 7 NaN 0.684265 0.574447 1.0 0.0 1.0 0.0 -401.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
45184 152337 0 Cash loans F N N 0 112500.0 467257.5 14296.5 328500.0 NaN Working Secondary / secondary special Married Municipal apartment 0.046220 -19584 -2646 -2075.000000 -3075 NaN 1 1 0 1 0 0 Core staff 2.0 1 1 THURSDAY 9 0 1 1 0 0 0 Transport: type 2 NaN 0.655422 0.591977 8.0 1.0 8.0 1.0 -7.0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
45657 152889 0 Revolving loans M N Y 2 112500.0 135000.0 6750.0 0.0 NaN State servant Secondary / secondary special Married House / apartment 0.016612 -13716 -1466 -8600.000000 -4045 NaN 1 1 1 1 0 0 Laborers 4.0 2 2 MONDAY 12 0 0 0 0 1 1 School NaN 0.160135 0.617826 0.0 0.0 0.0 0.0 -577.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
45969 153264 0 Cash loans M Y N 0 220500.0 675000.0 25146.0 675000.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.026392 -8731 -848 -8731.000000 -1405 7.0 1 1 0 1 0 0 Sales staff 1.0 2 2 MONDAY 14 0 0 0 1 1 0 Trade: type 2 NaN 0.481871 0.046951 3.0 0.0 3.0 0.0 -3.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
46032 153335 0 Cash loans F N Y 1 202500.0 835380.0 31950.0 675000.0 NaN Working Higher education Married House / apartment 0.006852 -16568 -4168 -5607.000000 -101 NaN 1 1 0 1 0 0 Core staff 3.0 3 3 FRIDAY 12 0 0 0 0 0 0 School NaN 0.345565 0.612704 3.0 0.0 3.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
46035 153338 0 Cash loans F Y N 0 144000.0 675000.0 20596.5 675000.0 NaN Pensioner Higher education Married House / apartment 0.010500 -18762 365243 -6730.000000 -2276 12.0 1 0 0 1 1 0 NaN 2.0 3 3 THURSDAY 14 0 0 0 0 0 0 XNA 0.700912 0.611237 0.612704 0.0 0.0 0.0 0.0 -1.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
46136 153447 0 Cash loans F N N 0 90000.0 691020.0 19129.5 495000.0 NaN Working Secondary / secondary special Married House / apartment 0.046220 -19425 -1654 -1643.000000 -2946 NaN 1 1 0 1 0 0 NaN 2.0 1 1 MONDAY 16 0 0 0 0 0 0 Medicine 0.558619 0.730028 0.695622 2.0 0.0 2.0 0.0 -410.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
46477 153838 0 Cash loans M N N 0 135000.0 1006920.0 38353.5 900000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.008230 -13607 -1021 -2680.000000 -4466 NaN 1 1 0 1 0 0 NaN 2.0 2 2 FRIDAY 10 0 0 0 0 1 1 Government NaN 0.526028 0.715103 3.0 1.0 3.0 1.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
46731 154131 0 Cash loans F N N 1 135000.0 543204.0 15066.0 355500.0 NaN Working Secondary / secondary special Married House / apartment 0.008625 -10310 -2231 -117.000000 -2058 NaN 1 1 0 1 0 0 Core staff 3.0 2 2 TUESDAY 14 0 0 0 0 0 0 Self-employed 0.331609 0.060425 0.617826 5.0 2.0 5.0 1.0 -46.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 3.0
46994 154433 0 Cash loans M N N 0 450000.0 585000.0 29718.0 585000.0 NaN Commercial associate Higher education Married House / apartment 0.031329 -12703 -3239 -4069.000000 -4511 NaN 1 1 0 1 1 0 Core staff 2.0 2 2 WEDNESDAY 8 0 0 0 0 0 0 Medicine 0.452832 0.789094 0.694093 0.0 0.0 0.0 0.0 -2.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
47515 155033 0 Cash loans F N N 0 67500.0 397881.0 12622.5 328500.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.018209 -20808 -3642 -8375.000000 -4200 NaN 1 1 0 1 0 0 Cooking staff 2.0 3 3 THURSDAY 8 0 0 0 0 0 0 Medicine 0.682222 0.457132 0.746300 0.0 0.0 0.0 0.0 -1771.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
47627 155169 0 Revolving loans F N Y 0 63000.0 135000.0 6750.0 0.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.031329 -21555 365243 -10745.000000 -3935 NaN 1 0 0 1 1 0 NaN 2.0 2 2 WEDNESDAY 11 0 0 0 0 0 0 XNA NaN 0.652740 0.754406 0.0 0.0 0.0 0.0 -1245.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
48235 155863 0 Cash loans F Y Y 0 72000.0 276277.5 11835.0 238500.0 NaN Pensioner Secondary / secondary special Single / not married House / apartment 0.016612 -24035 365243 -7743.000000 -5068 15.0 1 0 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 12 0 0 0 0 0 0 XNA NaN 0.633293 0.735221 0.0 0.0 0.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
48545 156218 1 Cash loans M N Y 0 157500.0 584766.0 22401.0 472500.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.022625 -12130 -342 -3632.000000 -4414 NaN 1 1 0 1 0 0 Laborers 2.0 2 2 MONDAY 11 0 0 0 0 0 0 Business Entity Type 2 0.252335 0.295096 NaN 2.0 0.0 2.0 0.0 -33.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 NaN NaN NaN NaN NaN NaN
48612 156297 0 Cash loans M N N 0 234000.0 441931.5 31558.5 409500.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.018801 -24814 365243 -4952.000000 -4575 NaN 1 0 0 1 1 0 NaN 2.0 2 2 SATURDAY 7 0 0 0 0 0 0 XNA NaN 0.550864 0.684828 0.0 0.0 0.0 0.0 -3477.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
48744 156450 0 Cash loans F N N 1 67500.0 314100.0 12091.5 225000.0 NaN State servant Higher education Single / not married House / apartment 0.031329 -13701 -186 -6550.000000 -4557 NaN 1 1 0 1 0 0 Core staff 2.0 2 2 TUESDAY 14 0 0 0 1 1 1 Government 0.817786 0.555000 0.678568 5.0 0.0 5.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
49611 157431 1 Cash loans F Y N 0 157500.0 1042560.0 62212.5 900000.0 NaN Commercial associate Secondary / secondary special Married With parents 0.072508 -10715 -2973 -5399.000000 -3369 20.0 1 1 0 1 1 0 HR staff 2.0 1 1 TUESDAY 19 0 0 0 0 0 0 Business Entity Type 2 0.107646 0.622230 0.347418 1.0 1.0 1.0 1.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1.0 0.0 0.0 0.0 0.0 0.0
49994 157871 0 Cash loans F N N 0 180000.0 1206000.0 45936.0 1206000.0 NaN Working Higher education Single / not married House / apartment 0.035792 -10667 -285 -2521.000000 -3333 NaN 1 1 0 1 0 0 Waiters/barmen staff 1.0 2 2 WEDNESDAY 11 0 0 0 0 1 1 Restaurant 0.426359 0.493770 0.634706 0.0 0.0 0.0 0.0 -14.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
50122 158028 0 Cash loans M Y N 1 292500.0 993082.5 38857.5 913500.0 NaN Working Secondary / secondary special Married With parents 0.072508 -11949 -1279 -1532.000000 -1622 7.0 1 1 0 1 1 0 Drivers 3.0 1 1 TUESDAY 16 0 0 0 0 0 0 Business Entity Type 3 NaN 0.691686 0.502878 0.0 0.0 0.0 0.0 -1131.0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
50126 158032 0 Cash loans F N Y 0 67500.0 661500.0 25668.0 661500.0 NaN Pensioner Secondary / secondary special Widow House / apartment 0.014464 -22828 365243 -14006.000000 -4313 NaN 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 8 0 0 0 0 0 0 XNA NaN 0.582608 NaN 2.0 0.0 2.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
50172 158085 0 Cash loans F N N 0 90000.0 673875.0 17905.5 562500.0 NaN Working Secondary / secondary special Married House / apartment 0.025164 -15769 -1757 -5117.000000 -5792 NaN 1 1 0 1 0 0 Sales staff 2.0 2 2 SATURDAY 11 0 0 0 0 0 0 Trade: type 7 0.373531 0.621711 0.652897 0.0 0.0 0.0 0.0 -2.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
50540 158525 1 Revolving loans F N Y 0 90000.0 270000.0 13500.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.031329 -8160 -279 -5946.000000 -224 NaN 1 1 0 1 1 0 NaN 2.0 2 2 FRIDAY 15 0 0 0 0 0 0 Business Entity Type 3 NaN 0.190088 0.285180 6.0 2.0 5.0 1.0 -194.0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
50787 158813 0 Cash loans M Y N 1 135000.0 299772.0 15651.0 247500.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.031329 -13319 -4606 -2098.000000 -4460 0.0 1 1 0 1 0 0 Drivers 3.0 2 2 MONDAY 15 0 0 0 0 0 0 Business Entity Type 2 0.386808 0.623078 0.622922 8.0 0.0 8.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
50798 158826 0 Cash loans F N N 0 157500.0 1350000.0 35743.5 1350000.0 NaN Working Secondary / secondary special Married House / apartment 0.026392 -17568 -5420 -7027.000000 -1106 NaN 1 1 1 1 1 0 Accountants 2.0 2 2 TUESDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.770411 0.570554 0.771362 8.0 0.0 8.0 0.0 -874.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
51046 159111 0 Cash loans F N Y 1 180000.0 942300.0 27004.5 675000.0 NaN Commercial associate Higher education Married House / apartment 0.032561 -12810 -2327 -744.000000 -750 NaN 1 1 0 1 0 0 Core staff 3.0 1 1 WEDNESDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.572751 0.642340 0.466864 1.0 0.0 1.0 0.0 -63.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
51052 159119 0 Cash loans M Y N 0 587250.0 592560.0 22698.0 450000.0 NaN Commercial associate Higher education Married House / apartment 0.072508 -11818 -147 -5943.000000 -3980 4.0 1 1 0 1 0 0 Managers 2.0 1 1 FRIDAY 12 0 0 0 0 0 0 Bank NaN 0.520322 0.429424 0.0 0.0 0.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 0.0
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265007 406881 0 Cash loans F N N 0 81000.0 381528.0 12186.0 315000.0 NaN Pensioner Secondary / secondary special Widow Office apartment 0.046220 -23713 365243 -17783.000000 -3910 NaN 1 0 0 1 1 0 NaN 1.0 1 1 TUESDAY 12 0 0 0 0 0 0 XNA NaN 0.698950 NaN 1.0 1.0 1.0 1.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
265644 407687 0 Cash loans M Y N 0 135000.0 1078200.0 28570.5 900000.0 NaN Working Secondary / secondary special Married House / apartment 0.022800 -19025 -923 -451.000000 -2568 0.0 1 1 0 1 1 0 Cleaning staff 2.0 2 2 SATURDAY 11 0 0 0 0 0 0 Business Entity Type 1 NaN 0.778668 0.522697 0.0 0.0 0.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
265719 407798 0 Cash loans F N Y 0 180000.0 728460.0 41949.0 675000.0 NaN Pensioner Higher education Separated House / apartment 0.005313 -24579 365243 -2884.000000 -1273 NaN 1 0 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 XNA NaN 0.541629 0.581484 0.0 0.0 0.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
266157 408317 0 Cash loans M Y N 1 450000.0 1003500.0 26599.5 1003500.0 NaN Working Secondary / secondary special Married House / apartment 0.035792 -16535 -1957 -4472.000000 -74 3.0 1 1 0 1 1 0 Laborers 3.0 2 2 SUNDAY 11 0 0 0 0 1 1 Construction 0.705087 0.621094 0.574447 1.0 0.0 1.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
266216 408394 0 Cash loans F N Y 0 135000.0 547344.0 17608.5 472500.0 NaN Pensioner Secondary / secondary special Widow House / apartment 0.008230 -23485 365243 -1496.000000 -2940 NaN 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 9 0 0 0 0 0 0 XNA NaN 0.152324 0.235311 1.0 0.0 1.0 0.0 -6.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
266313 408522 0 Cash loans M N Y 0 112500.0 220662.0 21627.0 207000.0 NaN Pensioner Incomplete higher Married House / apartment 0.022625 -25112 365243 -11009.000000 -4051 NaN 1 0 0 1 1 0 NaN 2.0 2 2 WEDNESDAY 12 0 0 0 0 0 0 XNA NaN 0.701964 0.554947 0.0 0.0 0.0 0.0 -1082.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
266366 408583 0 Cash loans F Y N 2 157500.0 455040.0 12132.0 360000.0 NaN Working Secondary / secondary special Married House / apartment 0.031329 -10116 -1256 -10116.041667 -2715 9.0 1 1 0 1 0 0 Sales staff 4.0 2 2 TUESDAY 14 0 0 0 0 1 1 Business Entity Type 3 0.594286 0.434526 0.256706 1.0 0.0 1.0 0.0 -1569.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 7.0
266419 408646 0 Cash loans M Y N 0 540000.0 2250000.0 68350.5 2250000.0 NaN Working Higher education Married House / apartment 0.035792 -14783 -1422 -1548.000000 -5591 2.0 1 1 0 1 1 0 NaN 2.0 2 2 SUNDAY 13 0 0 0 0 0 0 Realtor 0.451750 0.616601 0.695622 2.0 0.0 2.0 0.0 -1.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
266637 408900 0 Cash loans F N N 1 90000.0 580500.0 16092.0 580500.0 NaN Working Higher education Married House / apartment 0.018029 -10893 -226 -293.000000 -1949 NaN 1 1 0 1 0 0 Core staff 3.0 3 2 FRIDAY 10 0 0 0 0 0 0 Bank 0.298024 0.478694 0.218859 2.0 0.0 2.0 0.0 -1530.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
266741 409025 0 Cash loans F Y N 0 81000.0 675000.0 20466.0 675000.0 NaN Pensioner Higher education Married House / apartment 0.022800 -20218 365243 -999.000000 -3706 0.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 9 0 0 0 0 0 0 XNA 0.750656 0.715207 0.828729 0.0 0.0 0.0 0.0 -1351.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 3.0 0.0
266831 409135 0 Cash loans F N N 0 247500.0 942300.0 26041.5 675000.0 NaN Commercial associate Higher education Single / not married Co-op apartment 0.046220 -9336 -818 -3527.000000 -1983 NaN 1 1 0 1 0 0 Core staff 1.0 1 1 TUESDAY 12 0 0 0 0 0 0 Business Entity Type 2 NaN 0.609942 0.567379 0.0 0.0 0.0 0.0 -5.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
267076 409439 0 Cash loans F N Y 0 32400.0 270000.0 7249.5 270000.0 NaN State servant Secondary / secondary special Married House / apartment 0.015221 -19200 -5637 -4718.000000 -2760 NaN 1 1 0 1 0 0 Managers 2.0 2 2 SATURDAY 11 0 0 0 0 1 1 Medicine NaN 0.626549 0.230159 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
267302 409698 0 Revolving loans F N Y 0 67500.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Widow House / apartment 0.008474 -18120 -915 -8162.000000 -919 NaN 1 1 1 1 1 0 Laborers 1.0 2 2 FRIDAY 13 0 0 0 0 1 1 Business Entity Type 3 NaN 0.669807 0.651260 1.0 0.0 1.0 0.0 -628.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0
267335 409733 0 Revolving loans F N N 0 135000.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Single / not married With parents 0.028663 -8869 -1601 -1379.000000 -1533 NaN 1 1 0 1 0 0 Waiters/barmen staff 1.0 2 2 THURSDAY 13 0 0 0 0 0 0 Restaurant NaN 0.565440 NaN 9.0 0.0 9.0 0.0 0.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
267367 409768 0 Revolving loans F N Y 0 112500.0 135000.0 6750.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.007114 -15667 -2028 -5495.000000 -5498 NaN 1 1 1 1 0 0 Core staff 2.0 2 2 FRIDAY 13 0 0 0 0 0 0 Government NaN 0.527173 0.706205 2.0 2.0 2.0 2.0 -715.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
267573 410005 0 Cash loans F Y N 2 202500.0 416052.0 12613.5 292500.0 NaN Working Higher education Married House / apartment 0.030755 -10932 -2675 -763.000000 -20 17.0 1 1 0 1 0 0 Sales staff 4.0 2 2 TUESDAY 13 0 0 0 0 0 0 Trade: type 3 0.417943 0.537929 NaN 0.0 0.0 0.0 0.0 -275.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
267745 410214 0 Cash loans F Y N 1 202500.0 781920.0 24682.5 675000.0 NaN Commercial associate Higher education Civil marriage House / apartment 0.032561 -12941 -147 -70.000000 -3022 6.0 1 1 0 1 0 0 NaN 3.0 1 1 SATURDAY 15 0 0 0 0 0 0 Business Entity Type 3 NaN 0.679926 0.813917 3.0 0.0 3.0 0.0 -964.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 1.0
267813 410294 0 Cash loans F N Y 1 135000.0 687600.0 19836.0 450000.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.006852 -12092 -179 -5908.000000 -1749 NaN 1 1 0 1 0 0 Realty agents 2.0 3 3 MONDAY 7 0 0 0 1 0 1 Services 0.516443 0.186684 NaN 1.0 0.0 1.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
267873 410381 1 Cash loans M Y N 0 135000.0 412560.0 11952.0 270000.0 NaN Working Secondary / secondary special Married House / apartment 0.020713 -21423 -7426 -8408.000000 -4658 12.0 1 1 0 1 0 0 Laborers 2.0 3 3 MONDAY 11 0 0 0 0 0 0 Transport: type 2 NaN 0.600386 0.111042 3.0 1.0 3.0 1.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
267969 410496 0 Cash loans M Y N 0 81000.0 646920.0 17194.5 540000.0 NaN State servant Higher education Married House / apartment 0.020246 -15676 -7016 -831.000000 -5139 8.0 1 1 0 1 0 0 Drivers 2.0 3 3 FRIDAY 8 0 0 0 0 0 0 Security Ministries NaN 0.083731 0.468660 0.0 0.0 0.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
268321 410920 0 Cash loans F Y N 2 112500.0 414792.0 15502.5 315000.0 NaN State servant Higher education Married House / apartment 0.025164 -10277 -1529 -1102.000000 -2672 14.0 1 1 0 1 0 0 Core staff 4.0 2 2 THURSDAY 15 0 0 0 0 1 1 School NaN 0.188905 0.513694 4.0 1.0 4.0 1.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
268334 410935 0 Cash loans F N N 1 202500.0 343800.0 10921.5 225000.0 NaN State servant Higher education Married House / apartment 0.046220 -13898 -1198 -3356.000000 -3400 NaN 1 1 0 1 0 0 High skill tech staff 3.0 1 1 THURSDAY 12 0 0 0 0 0 0 Housing 0.384090 0.725527 0.184116 1.0 0.0 1.0 0.0 -6.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
268385 411002 0 Cash loans F N N 0 76500.0 263686.5 13783.5 238500.0 NaN Working Higher education Single / not married House / apartment 0.009630 -10839 -2110 -5564.000000 -3189 NaN 1 1 0 1 0 0 Sales staff 1.0 2 2 FRIDAY 10 0 0 0 0 0 0 Self-employed 0.441533 0.556673 0.634706 2.0 0.0 2.0 0.0 -753.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
268408 411040 0 Cash loans F N N 1 157500.0 808650.0 21460.5 675000.0 NaN Commercial associate Secondary / secondary special Separated House / apartment 0.016612 -13922 -122 -8047.000000 -5093 NaN 1 1 0 1 1 0 Laborers 2.0 2 2 SATURDAY 10 0 0 0 0 0 0 Business Entity Type 3 NaN 0.569680 0.766234 7.0 2.0 7.0 2.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
268427 411063 0 Cash loans F N Y 0 90000.0 566055.0 15565.5 472500.0 NaN Working Secondary / secondary special Married Office apartment 0.025164 -19806 -778 -2632.000000 -3349 NaN 1 1 0 1 0 0 Sales staff 2.0 2 2 MONDAY 9 0 0 0 0 0 0 Self-employed 0.694870 0.228598 0.549597 9.0 0.0 9.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
268566 411233 0 Cash loans M Y N 2 150952.5 473760.0 44424.0 450000.0 NaN Commercial associate Higher education Married House / apartment 0.046220 -15602 -1042 -6163.000000 -3930 2.0 1 1 1 1 0 0 Core staff 4.0 1 1 WEDNESDAY 12 1 1 0 1 1 0 Business Entity Type 3 NaN 0.506502 NaN 0.0 0.0 0.0 0.0 -317.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0
268640 411320 0 Cash loans M N N 0 60750.0 585000.0 17865.0 585000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.028663 -23704 365243 -11647.000000 -4507 NaN 1 0 0 1 0 0 NaN 2.0 2 2 TUESDAY 12 0 0 0 0 0 0 XNA NaN 0.605391 0.763640 0.0 0.0 0.0 0.0 -2.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
268946 411666 0 Cash loans M Y N 0 261000.0 1133748.0 30037.5 990000.0 NaN Working Secondary / secondary special Married House / apartment 0.018634 -14805 -762 -8954.000000 -4733 8.0 1 1 0 1 0 0 Laborers 2.0 2 2 SATURDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.109489 0.755757 0.508287 0.0 0.0 0.0 0.0 -315.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
269009 411743 0 Cash loans M N Y 0 157500.0 288562.5 29254.5 261000.0 NaN Working Higher education Single / not married House / apartment 0.007020 -9068 -1434 -4.000000 -1479 NaN 1 1 0 1 0 0 NaN 1.0 2 2 MONDAY 17 0 0 0 0 1 1 Transport: type 2 0.700810 0.452496 0.713631 0.0 0.0 0.0 0.0 -66.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
269012 411747 0 Cash loans F Y N 2 148500.0 781920.0 23706.0 675000.0 NaN Commercial associate Higher education Married House / apartment 0.024610 -12681 -588 -231.000000 -1750 8.0 1 1 0 1 1 0 Managers 4.0 2 2 TUESDAY 12 0 0 0 0 0 0 Self-employed NaN 0.551757 0.326475 0.0 0.0 0.0 0.0 -825.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
269015 411756 0 Cash loans F Y N 0 270000.0 675000.0 30631.5 675000.0 NaN Working Higher education Married Rented apartment 0.014520 -14902 -5350 -8156.000000 -1128 6.0 1 1 0 1 0 0 Laborers 2.0 2 2 WEDNESDAY 12 0 1 1 0 1 1 Kindergarten NaN 0.605845 0.204423 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
269051 411794 0 Cash loans F N N 0 90000.0 677664.0 20673.0 585000.0 NaN Pensioner Secondary / secondary special Single / not married House / apartment 0.031329 -20683 365243 -11074.000000 -4228 NaN 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 11 0 0 0 0 0 0 XNA NaN 0.561126 0.363945 2.0 0.0 2.0 0.0 -1.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
269115 411874 0 Cash loans F Y N 0 382500.0 1540305.0 40761.0 1206000.0 NaN Working Higher education Married House / apartment 0.030755 -12872 -1286 -971.000000 -1833 29.0 1 1 0 1 0 0 HR staff 2.0 2 2 FRIDAY 15 0 0 0 0 0 0 Agriculture 0.133414 0.555847 0.415347 4.0 0.0 3.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
269142 411902 0 Cash loans F N N 2 247500.0 1256400.0 33273.0 900000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.046220 -15920 -248 -3405.000000 -4935 NaN 1 1 0 1 0 0 Medicine staff 4.0 1 1 TUESDAY 12 0 1 1 0 0 0 Police 0.515783 0.723125 0.258084 0.0 0.0 0.0 0.0 -3.0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
269255 412041 0 Cash loans M Y N 2 225000.0 687600.0 19039.5 450000.0 NaN Working Secondary / secondary special Married House / apartment 0.006008 -15442 -133 -3549.000000 -3934 12.0 1 1 0 1 0 0 NaN 4.0 2 2 MONDAY 10 0 1 1 0 1 1 Business Entity Type 3 0.731675 0.705666 0.803885 0.0 0.0 0.0 0.0 -1.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
269291 412079 0 Revolving loans M N Y 1 67500.0 135000.0 6750.0 0.0 NaN Working Secondary / secondary special Civil marriage House / apartment 0.009657 -15055 -3476 -8984.000000 -4158 NaN 1 1 1 1 0 0 NaN 3.0 2 2 FRIDAY 10 0 0 0 0 0 0 Business Entity Type 3 NaN 0.475808 0.382502 1.0 0.0 1.0 0.0 -442.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
269528 412350 0 Cash loans M Y Y 0 112500.0 420912.0 11574.0 333000.0 NaN Working Secondary / secondary special Married House / apartment 0.019689 -18279 -3697 -6320.000000 -1742 14.0 1 1 0 1 0 0 Laborers 2.0 2 2 MONDAY 8 0 0 0 0 0 0 Business Entity Type 3 NaN 0.538592 0.621226 3.0 0.0 2.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
269596 412435 0 Cash loans F N N 0 135000.0 755190.0 48960.0 675000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.022625 -17892 -5109 -9771.000000 -1132 NaN 1 1 1 1 0 0 NaN 2.0 2 2 TUESDAY 8 0 0 0 0 0 0 Business Entity Type 3 0.759208 0.679207 0.540654 6.0 0.0 6.0 0.0 -8.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
269855 412751 0 Cash loans F N N 1 135000.0 553806.0 35937.0 495000.0 NaN State servant Higher education Married House / apartment 0.032561 -10763 -3778 -4973.000000 -2054 NaN 1 1 0 1 0 0 NaN 3.0 1 1 MONDAY 17 0 0 0 0 0 0 Other 0.613354 0.704852 0.607557 2.0 1.0 2.0 1.0 -2602.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 6.0 0.0 0.0
269896 412804 0 Cash loans F N N 1 387000.0 2220259.5 61186.5 1984500.0 NaN State servant Higher education Single / not married House / apartment 0.028663 -17973 -314 -11110.000000 -1526 NaN 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Medicine NaN 0.609224 0.353988 5.0 1.0 5.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
269912 412820 0 Cash loans F N N 0 136800.0 1506816.0 47313.0 1350000.0 NaN Commercial associate Incomplete higher Widow House / apartment 0.031329 -17172 -538 -8700.000000 -695 NaN 1 1 0 1 0 0 NaN 1.0 2 2 TUESDAY 15 0 0 0 0 0 0 Business Entity Type 3 0.625537 0.646848 0.607557 0.0 0.0 0.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
269968 412882 0 Cash loans M N N 0 337500.0 450000.0 26928.0 450000.0 NaN Commercial associate Higher education Married House / apartment 0.072508 -13973 -2780 -314.000000 -4704 NaN 1 1 0 1 0 0 Sales staff 2.0 1 1 THURSDAY 18 0 0 0 0 0 0 Business Entity Type 3 0.596383 0.717920 0.621226 4.0 0.0 4.0 0.0 -4.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
269999 412919 0 Cash loans F N Y 0 180000.0 281493.0 10849.5 243000.0 NaN Working Secondary / secondary special Married House / apartment 0.024610 -12120 -4297 -995.000000 -2924 NaN 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.509093 0.642279 0.337673 3.0 0.0 3.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
270084 413010 0 Cash loans M N N 0 76500.0 343800.0 10552.5 225000.0 NaN Commercial associate Incomplete higher Separated House / apartment 0.019689 -14910 -832 -272.000000 -4334 NaN 1 1 0 1 0 0 Laborers 1.0 2 2 MONDAY 7 0 0 0 0 0 0 Transport: type 2 NaN 0.049962 0.706205 1.0 0.0 1.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
270503 413521 0 Cash loans F Y N 0 450000.0 1436850.0 39640.5 1125000.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.014464 -15233 -3186 -66.000000 -4571 12.0 1 1 0 1 0 0 Sales staff 1.0 2 2 THURSDAY 7 0 0 0 0 0 0 Business Entity Type 3 0.662293 0.685648 0.796973 0.0 0.0 0.0 0.0 -2272.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0
270612 413670 0 Cash loans M Y N 0 337500.0 1381113.0 38110.5 1206000.0 NaN Working Higher education Married House / apartment 0.008474 -16622 -1243 -2071.000000 -155 13.0 1 1 0 1 1 0 Security staff 2.0 2 2 SATURDAY 14 0 0 0 0 0 0 Security 0.709922 0.548640 0.215182 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
270616 413674 1 Revolving loans F N Y 0 99000.0 337500.0 16875.0 0.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.030755 -21827 365243 -3582.000000 -4737 NaN 1 0 0 1 1 0 NaN 2.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 XNA NaN 0.647882 0.528093 0.0 0.0 0.0 0.0 -1915.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
271074 414243 0 Revolving loans F N Y 0 157500.0 810000.0 40500.0 0.0 NaN Working Secondary / secondary special Single / not married Municipal apartment 0.024610 -14617 -588 -8712.000000 -4499 NaN 1 1 1 1 1 0 Sales staff 1.0 2 2 TUESDAY 17 0 0 0 0 0 0 Transport: type 4 0.669794 0.469714 0.535276 4.0 0.0 4.0 0.0 -995.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
271201 414403 0 Cash loans F N N 0 108000.0 512338.5 15664.5 423000.0 NaN Commercial associate Higher education Civil marriage House / apartment 0.006629 -8533 -138 -3404.000000 -1215 NaN 1 1 0 1 0 0 Core staff 2.0 2 2 SATURDAY 11 0 0 0 0 1 1 Self-employed 0.450081 0.673651 0.634706 1.0 0.0 1.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
271339 414555 0 Revolving loans F N Y 0 112500.0 270000.0 13500.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.018850 -13052 -1837 -3207.000000 -4613 NaN 1 1 1 1 1 1 High skill tech staff 2.0 2 2 TUESDAY 9 0 0 0 0 0 0 Housing NaN 0.619842 0.631355 0.0 0.0 0.0 0.0 -629.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
271392 414624 0 Cash loans M Y N 0 315000.0 630000.0 58297.5 630000.0 NaN Working Higher education Civil marriage House / apartment 0.010643 -14697 -1150 -1028.000000 -4875 2.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 Business Entity Type 1 NaN 0.679236 0.626304 0.0 0.0 0.0 0.0 -5.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
271396 414628 0 Cash loans F N N 0 162000.0 263686.5 13522.5 238500.0 NaN Pensioner Secondary / secondary special Widow House / apartment 0.010147 -23960 365243 -5080.000000 -4189 NaN 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 13 0 0 0 0 0 0 XNA NaN 0.602865 0.490258 2.0 0.0 2.0 0.0 -3.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
271405 414638 0 Cash loans M N N 1 150750.0 819432.0 21744.0 684000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.007020 -9960 -868 -9686.000000 -2625 NaN 1 1 0 1 0 0 NaN 3.0 2 2 FRIDAY 15 0 0 0 0 0 0 Business Entity Type 3 0.097844 0.408564 0.273565 3.0 1.0 3.0 1.0 -5.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
271611 414876 0 Revolving loans M N Y 0 135000.0 157500.0 7875.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.010966 -14876 -1577 -1665.000000 -3422 NaN 1 1 1 1 0 0 Drivers 2.0 2 2 THURSDAY 14 0 0 0 0 0 0 Business Entity Type 3 NaN 0.521599 0.511892 0.0 0.0 0.0 0.0 0.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
271754 415039 0 Revolving loans M N Y 1 121500.0 225000.0 11250.0 0.0 NaN Working Secondary / secondary special Married With parents 0.008474 -9939 -886 -4801.000000 -2283 NaN 1 1 0 1 1 0 Core staff 3.0 2 2 THURSDAY 15 0 0 0 1 1 0 Business Entity Type 1 NaN 0.590451 0.270707 0.0 0.0 0.0 0.0 -660.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
272242 415625 0 Revolving loans M N N 0 126000.0 270000.0 13500.0 0.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.007120 -13322 -1632 -776.000000 -4690 NaN 1 1 1 1 1 0 Drivers 1.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 Industry: type 3 NaN 0.606164 NaN 0.0 0.0 0.0 0.0 -897.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
272252 415635 0 Revolving loans F N Y 0 90000.0 270000.0 13500.0 0.0 NaN Working Secondary / secondary special Separated House / apartment 0.010147 -14704 -831 -1999.000000 -5130 NaN 1 1 0 1 0 0 Sales staff 1.0 2 2 MONDAY 11 0 0 0 0 0 0 Trade: type 7 NaN 0.030760 NaN 0.0 0.0 0.0 0.0 -669.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 2.0
273229 416712 0 Revolving loans F N Y 1 112500.0 180000.0 9000.0 0.0 NaN State servant Secondary / secondary special Married House / apartment 0.002042 -15098 -6407 -1033.000000 -6085 NaN 1 1 1 1 0 0 Medicine staff 3.0 3 3 SATURDAY 10 0 0 0 0 0 0 Medicine NaN 0.506895 0.672243 0.0 0.0 0.0 0.0 -815.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
273610 417132 0 Cash loans M Y N 0 292500.0 630000.0 23476.5 630000.0 NaN Working Secondary / secondary special Married House / apartment 0.028663 -18811 -1170 -4687.000000 -2277 1.0 1 1 0 1 0 0 Laborers 2.0 2 2 WEDNESDAY 10 0 0 0 0 1 1 Business Entity Type 3 NaN 0.479196 0.397946 0.0 0.0 0.0 0.0 -2.0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 7.0
273757 417309 0 Revolving loans F N Y 0 65250.0 202500.0 10125.0 0.0 NaN Pensioner Secondary / secondary special Married Municipal apartment 0.010006 -21538 365243 -3303.000000 -2366 NaN 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 9 0 0 0 0 0 0 XNA 0.831460 NaN NaN 0.0 0.0 0.0 0.0 -1910.0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
273847 417424 0 Cash loans F N Y 2 135000.0 592560.0 27589.5 450000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.032561 -11933 -775 -3906.000000 -1047 NaN 1 1 0 1 0 0 Private service staff 4.0 1 1 THURSDAY 14 0 0 0 0 0 0 Business Entity Type 3 NaN 0.691252 0.210350 1.0 0.0 1.0 0.0 -329.0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
274111 417727 0 Cash loans F N N 0 135000.0 170640.0 5580.0 135000.0 NaN Pensioner Secondary / secondary special Married Municipal apartment 0.009334 -22169 365243 -11928.000000 -1054 NaN 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 11 0 0 0 0 0 0 XNA NaN 0.638639 0.492060 1.0 0.0 1.0 0.0 -364.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
275284 419023 0 Revolving loans M N Y 0 90000.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.007330 -18394 -11426 -10186.000000 -1933 NaN 1 1 1 1 1 0 Laborers 1.0 2 2 FRIDAY 18 0 0 0 0 0 0 Culture 0.680058 0.721388 NaN 0.0 0.0 0.0 0.0 -399.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0
275429 419205 0 Revolving loans F N Y 1 112500.0 202500.0 10125.0 0.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.010147 -8120 -731 -7506.000000 -341 NaN 1 1 1 1 1 0 Sales staff 2.0 2 2 TUESDAY 16 0 0 0 0 1 1 Self-employed 0.221135 0.109114 0.210350 0.0 0.0 0.0 0.0 -311.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
276692 420659 0 Revolving loans M N Y 0 112500.0 247500.0 12375.0 0.0 NaN Pensioner Higher education Married House / apartment 0.018209 -22496 365243 -4018.000000 -4087 NaN 1 0 0 1 1 0 NaN 2.0 3 3 TUESDAY 12 0 0 0 0 0 0 XNA 0.424637 0.527037 0.529890 0.0 0.0 0.0 0.0 -204.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
277089 421109 1 Cash loans F N N 0 180000.0 808650.0 22365.0 675000.0 NaN Commercial associate Secondary / secondary special Civil marriage House / apartment 0.035792 -16874 -4299 -216.000000 -426 NaN 1 1 0 1 0 0 Sales staff 2.0 2 2 SUNDAY 13 0 1 1 0 1 1 Industry: type 3 NaN 0.611200 NaN 8.0 0.0 8.0 0.0 -518.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
277577 421621 0 Cash loans F Y N 1 112500.0 900000.0 23872.5 900000.0 NaN Working Higher education Married House / apartment 0.026392 -13859 -267 -2781.000000 -4614 1.0 1 1 0 1 0 0 Sales staff 3.0 2 2 THURSDAY 15 0 0 0 0 0 0 Trade: type 7 0.782231 0.538723 0.588488 0.0 0.0 0.0 0.0 -416.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
277828 421882 0 Cash loans F N N 1 157500.0 398160.0 10948.5 315000.0 NaN State servant Higher education Married Rented apartment 0.014464 -14520 -2319 -392.000000 -3310 NaN 1 1 0 1 0 0 HR staff 3.0 2 2 WEDNESDAY 11 0 0 0 0 0 0 Security Ministries NaN 0.724925 0.285180 0.0 0.0 0.0 0.0 -1508.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
277969 422096 0 Revolving loans F N Y 1 90000.0 202500.0 10125.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.007020 -7950 -1068 -116.000000 -577 NaN 1 1 1 1 0 0 NaN 3.0 2 2 SATURDAY 14 0 0 0 1 1 1 Other 0.134095 0.223138 NaN 8.0 0.0 8.0 0.0 0.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
278535 422708 0 Cash loans F N N 1 94500.0 495000.0 18342.0 495000.0 NaN Working Secondary / secondary special Married House / apartment 0.028663 -16742 -4481 -2469.000000 -291 NaN 1 1 1 1 1 0 Medicine staff 3.0 2 2 FRIDAY 8 0 0 0 0 0 0 Medicine 0.713675 0.706814 0.607557 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
278747 422928 0 Revolving loans M N Y 1 117000.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.009175 -12462 -1203 -3084.000000 -1610 NaN 1 1 0 1 1 1 Laborers 3.0 2 2 SATURDAY 17 0 0 0 0 0 0 Business Entity Type 3 0.214509 0.630480 0.560284 0.0 0.0 0.0 0.0 -1448.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 3.0 7.0
279019 423255 0 Cash loans F Y N 0 90000.0 238500.0 22198.5 238500.0 NaN Working Secondary / secondary special Married Rented apartment 0.028663 -11017 -115 -780.000000 -1907 13.0 1 1 1 1 0 0 Accountants 2.0 2 2 WEDNESDAY 15 0 0 0 1 1 0 Self-employed NaN 0.227820 0.728141 1.0 1.0 1.0 1.0 -5.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
279268 423509 0 Cash loans F Y Y 0 90000.0 364428.0 10152.0 238500.0 NaN Working Secondary / secondary special Married House / apartment 0.022625 -16357 -3550 -3017.000000 -4017 5.0 1 1 1 1 1 0 Laborers 2.0 2 2 THURSDAY 17 0 0 0 0 0 0 Transport: type 4 0.624302 0.460384 0.297087 0.0 0.0 0.0 0.0 -555.0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
279362 423607 0 Cash loans M Y N 0 270000.0 900000.0 24750.0 900000.0 NaN Working Secondary / secondary special Married House / apartment 0.026392 -15286 -2187 -3417.000000 -2053 2.0 1 1 1 1 1 0 Laborers 2.0 2 2 WEDNESDAY 17 0 0 0 0 0 0 Construction NaN 0.719671 0.597192 1.0 0.0 1.0 0.0 -2343.0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1.0 0.0 0.0 0.0 0.0 1.0
279583 423902 0 Revolving loans F N Y 1 45000.0 135000.0 6750.0 0.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.010966 -9903 -185 -2559.000000 -1187 NaN 1 1 1 1 1 1 Managers 2.0 2 2 TUESDAY 10 0 0 0 0 0 0 Postal 0.249219 0.609775 NaN 0.0 0.0 0.0 0.0 -1628.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
279718 424074 0 Cash loans F N N 0 202500.0 729792.0 22257.0 630000.0 NaN Pensioner Secondary / secondary special Single / not married House / apartment 0.025164 -19624 365243 -2404.000000 -3170 NaN 1 0 0 1 0 0 NaN 1.0 2 2 SATURDAY 13 0 0 0 1 0 0 XNA NaN 0.642706 0.678568 5.0 0.0 5.0 0.0 -1524.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
279926 424331 0 Cash loans F N N 3 225000.0 1236816.0 35446.5 1080000.0 NaN Working Higher education Married House / apartment 0.010032 -14303 -6824 -489.000000 -5193 NaN 1 1 0 1 0 1 Accountants 5.0 2 2 TUESDAY 11 0 0 0 0 0 0 Transport: type 2 0.617787 0.529026 NaN 1.0 0.0 1.0 0.0 -2201.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
279997 424410 0 Revolving loans F N Y 1 112500.0 270000.0 13500.0 0.0 NaN Working Secondary / secondary special Separated House / apartment 0.020246 -13598 -384 -247.000000 -797 NaN 1 1 1 1 1 0 Sales staff 2.0 3 3 THURSDAY 7 0 0 0 0 0 0 Self-employed 0.545629 0.424399 0.377404 0.0 0.0 0.0 0.0 -442.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
280056 424469 0 Cash loans M Y N 0 360000.0 2250000.0 83515.5 2250000.0 NaN Commercial associate Higher education Single / not married House / apartment 0.019101 -12939 -635 -7086.000000 -4321 7.0 1 1 0 1 1 0 Managers 1.0 2 2 MONDAY 14 0 0 0 0 1 1 Business Entity Type 3 NaN 0.692399 0.636376 0.0 0.0 0.0 0.0 -1376.0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
280526 424998 0 Cash loans M Y N 0 247500.0 545040.0 28894.5 450000.0 NaN Working Higher education Single / not married House / apartment 0.020713 -9413 -698 -3626.000000 -2045 4.0 1 1 0 1 0 0 Sales staff 1.0 3 3 WEDNESDAY 7 0 0 0 1 1 0 Business Entity Type 3 NaN 0.591392 0.689479 0.0 0.0 0.0 0.0 -237.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
280698 425175 0 Cash loans F Y N 0 405000.0 2250000.0 59485.5 2250000.0 NaN Working Secondary / secondary special Married House / apartment 0.026392 -18472 -340 -8971.000000 -1779 0.0 1 1 0 1 0 0 Drivers 2.0 2 2 THURSDAY 18 0 0 0 0 0 0 Other NaN 0.551676 NaN 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
280786 425268 0 Cash loans F N N 0 270000.0 578979.0 21586.5 517500.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.025164 -21170 365243 -1842.000000 -1842 NaN 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 XNA NaN 0.636689 0.522697 13.0 3.0 13.0 2.0 -1.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
280792 425274 0 Cash loans M N Y 1 157500.0 835605.0 23107.5 697500.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.007305 -13684 -1836 -431.000000 -4164 NaN 1 1 0 1 0 0 Drivers 3.0 3 3 MONDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.416630 0.568538 0.680139 0.0 0.0 0.0 0.0 -1482.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
281050 425623 0 Revolving loans M N Y 0 225000.0 540000.0 27000.0 0.0 NaN Working Higher education Married House / apartment 0.018634 -19645 -621 -8405.000000 -845 NaN 1 1 0 1 1 0 Managers 2.0 2 2 MONDAY 12 0 0 0 0 0 0 Construction NaN 0.372064 0.676993 0.0 0.0 0.0 0.0 0.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
281100 425673 1 Cash loans M N N 1 135000.0 284400.0 14575.5 225000.0 NaN Working Secondary / secondary special Married House / apartment 0.019689 -9582 -1746 -1729.000000 -2253 NaN 1 1 0 1 0 1 Laborers 3.0 2 2 TUESDAY 15 0 0 0 0 0 0 Business Entity Type 2 NaN 0.491933 0.355639 0.0 0.0 0.0 0.0 -7.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
281653 426277 0 Revolving loans F N Y 0 45000.0 135000.0 6750.0 0.0 NaN State servant Secondary / secondary special Married House / apartment 0.025164 -18860 -7885 -9087.000000 -2408 NaN 1 1 1 1 0 0 Cooking staff 2.0 2 2 THURSDAY 9 0 0 0 0 0 0 Kindergarten NaN 0.299881 0.680139 1.0 1.0 1.0 0.0 -187.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
282002 426638 0 Revolving loans M N Y 1 121500.0 202500.0 10125.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.016612 -15706 -2426 -2654.000000 -4261 NaN 1 1 1 1 1 0 Security staff 3.0 2 2 SATURDAY 12 0 1 1 0 1 1 Security NaN 0.637720 0.556727 2.0 0.0 2.0 0.0 -1794.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
282270 426914 0 Revolving loans F N Y 0 126000.0 382500.0 19125.0 0.0 NaN Commercial associate Higher education Married Municipal apartment 0.010006 -10156 -1470 -3418.000000 -1773 NaN 1 1 1 1 1 0 Laborers 2.0 2 2 SUNDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.347868 0.488638 0.504681 5.0 0.0 5.0 0.0 -743.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
282607 427343 0 Cash loans F N N 0 171000.0 614223.0 22891.5 549000.0 NaN Working Secondary / secondary special Civil marriage House / apartment 0.020713 -17288 -3031 -182.000000 -817 NaN 1 1 0 1 0 0 Sales staff 2.0 3 3 THURSDAY 6 0 0 0 0 0 0 Self-employed NaN 0.478945 0.363945 0.0 0.0 0.0 0.0 -1820.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
282847 427592 0 Revolving loans F N N 0 112500.0 337500.0 16875.0 0.0 NaN State servant Higher education Married House / apartment 0.001276 -10978 -1791 -2216.000000 -652 NaN 1 1 0 1 0 0 Sales staff 2.0 2 2 WEDNESDAY 8 0 0 0 0 0 0 Business Entity Type 3 0.585709 0.322456 0.641368 6.0 0.0 6.0 0.0 -1147.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
283159 427953 0 Revolving loans F N Y 0 90000.0 202500.0 10125.0 0.0 NaN Commercial associate Secondary / secondary special Single / not married With parents 0.024610 -7835 -602 -2571.000000 -500 NaN 1 1 0 1 1 0 Cooking staff 1.0 2 2 FRIDAY 16 0 0 0 0 0 0 Business Entity Type 3 NaN 0.370166 NaN 4.0 2.0 4.0 2.0 -98.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
283385 428186 0 Cash loans F N N 1 135000.0 491823.0 22918.5 373500.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.024610 -9742 -1517 -9742.000000 -2335 NaN 1 1 0 1 0 0 Laborers 2.0 2 2 SATURDAY 11 0 0 0 1 1 1 Business Entity Type 3 0.387479 0.291240 0.624615 3.0 1.0 3.0 1.0 -38.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
283600 428451 0 Cash loans F Y Y 1 67500.0 495000.0 33214.5 495000.0 NaN Working Secondary / secondary special Married House / apartment 0.016612 -14347 -3158 -7146.000000 -4120 23.0 1 1 1 1 1 0 Laborers 3.0 2 2 MONDAY 9 0 0 0 0 0 0 Postal 0.670903 0.226932 0.695622 4.0 0.0 4.0 0.0 -1783.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
283886 428765 1 Cash loans F Y N 1 56250.0 445500.0 12897.0 445500.0 NaN Working Secondary / secondary special Married House / apartment 0.026392 -11557 -3607 -2780.000000 -2828 19.0 1 1 0 1 0 0 Core staff 3.0 2 2 TUESDAY 12 0 0 0 0 1 1 Government NaN 0.735109 0.812823 2.0 0.0 2.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
283927 428817 0 Cash loans M Y N 1 166500.0 663093.0 17622.0 553500.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.008474 -15113 -7096 -3150.000000 -4174 3.0 1 1 0 1 1 0 Laborers 3.0 2 2 TUESDAY 12 0 0 0 0 0 0 Business Entity Type 1 0.268297 0.227678 0.415347 6.0 0.0 6.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0.0 0.0 0.0 5.0 0.0 0.0
283948 428841 0 Cash loans M Y Y 0 153000.0 485640.0 35671.5 450000.0 NaN State servant Secondary / secondary special Married House / apartment 0.031329 -16805 -860 -9366.000000 -349 8.0 1 1 0 1 0 0 Drivers 2.0 2 2 FRIDAY 10 0 0 0 0 1 1 School NaN 0.575743 0.432962 0.0 0.0 0.0 0.0 -408.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
283960 428855 0 Cash loans M N N 0 80325.0 373140.0 18954.0 337500.0 NaN Working Secondary / secondary special Separated House / apartment 0.020713 -19674 -3646 -7949.000000 -2981 NaN 1 1 1 1 1 0 Security staff 1.0 3 3 TUESDAY 13 0 0 0 0 0 0 Government 0.381941 0.590784 NaN 4.0 2.0 4.0 1.0 -1663.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
284165 429092 0 Cash loans F N N 0 112500.0 412942.5 21105.0 373500.0 NaN Pensioner Secondary / secondary special Single / not married House / apartment 0.010147 -24183 365243 -11604.000000 -4734 NaN 1 0 0 1 1 0 NaN 1.0 2 2 TUESDAY 10 0 0 0 0 0 0 XNA NaN 0.729942 0.656158 0.0 0.0 0.0 0.0 -2.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
284379 429337 0 Cash loans F N N 0 202500.0 711072.0 21690.0 540000.0 NaN Working Secondary / secondary special Married House / apartment 0.030755 -16924 -1104 -9158.000000 -451 NaN 1 1 0 1 1 0 Sales staff 2.0 2 2 FRIDAY 10 0 0 0 0 0 0 Business Entity Type 3 NaN 0.609609 0.657784 0.0 0.0 0.0 0.0 -2207.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
285269 430381 0 Revolving loans M N Y 1 180000.0 270000.0 13500.0 0.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.010500 -13706 -991 -9824.000000 -3904 NaN 1 1 1 1 1 0 Managers 3.0 3 3 SUNDAY 15 1 1 0 1 1 0 Construction 0.749647 0.673492 NaN 0.0 0.0 0.0 0.0 -526.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
285390 430522 0 Cash loans F N N 0 225000.0 1206000.0 31941.0 1206000.0 NaN Working Higher education Married House / apartment 0.028663 -10278 -223 -4691.000000 -1499 NaN 1 1 0 1 0 0 Core staff 2.0 2 2 SUNDAY 13 0 0 0 0 1 1 Medicine NaN 0.554800 NaN 3.0 0.0 3.0 0.0 -1139.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
285984 431218 0 Cash loans F N N 0 477000.0 481855.5 47790.0 463500.0 NaN Pensioner Higher education Married House / apartment 0.025164 -23810 365243 -1675.000000 -4676 NaN 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 15 0 0 0 0 0 0 XNA NaN 0.257288 0.691021 0.0 0.0 0.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
286638 431986 0 Cash loans M Y N 2 292500.0 675000.0 18693.0 675000.0 NaN State servant Secondary / secondary special Separated House / apartment 0.006233 -12587 -5042 -3473.000000 -4489 11.0 1 1 0 1 0 0 Core staff 3.0 2 2 THURSDAY 17 0 0 0 0 0 0 Emergency 0.580914 0.713712 0.344155 0.0 0.0 0.0 0.0 -1749.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
286934 432338 0 Cash loans F N N 0 135000.0 892044.0 24660.0 639000.0 NaN Working Secondary / secondary special Separated House / apartment 0.006008 -21810 -992 -12216.000000 -4596 NaN 1 1 0 1 0 0 Laborers 1.0 2 2 MONDAY 17 0 0 0 0 1 1 Self-employed NaN 0.448085 0.667458 2.0 0.0 2.0 0.0 -360.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
287092 432536 0 Revolving loans M N Y 0 90000.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.022625 -21339 -13031 -6244.000000 -4646 NaN 1 1 1 1 1 0 Laborers 2.0 2 2 TUESDAY 17 0 0 0 0 0 0 Business Entity Type 3 NaN 0.481554 NaN 2.0 0.0 2.0 0.0 -1475.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
287146 432602 0 Cash loans M Y N 1 180000.0 952960.5 35316.0 851769.0 NaN Working Secondary / secondary special Married House / apartment 0.022800 -14648 -292 -538.000000 -4312 4.0 1 1 0 1 0 0 Laborers 3.0 2 2 MONDAY 9 0 0 0 0 1 1 Business Entity Type 3 0.282189 0.586675 0.394495 0.0 0.0 0.0 0.0 -241.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 1.0 2.0 1.0
287206 432678 0 Cash loans M N Y 0 97650.0 315000.0 9027.0 315000.0 NaN Commercial associate Higher education Single / not married House / apartment 0.035792 -7804 -226 -2575.000000 -472 NaN 1 1 1 1 0 0 NaN 1.0 2 2 MONDAY 13 0 0 0 0 0 0 Business Entity Type 3 NaN 0.498662 0.520898 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
287328 432825 0 Cash loans M Y Y 0 270000.0 298512.0 27751.5 270000.0 NaN Working Secondary / secondary special Married House / apartment 0.019101 -20454 -6703 -9127.000000 -4014 6.0 1 1 0 1 0 0 Laborers 2.0 2 2 FRIDAY 11 0 0 0 0 0 0 Business Entity Type 2 NaN 0.170859 0.691021 1.0 1.0 1.0 1.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
287329 432826 0 Cash loans F N N 0 315000.0 540000.0 15475.5 540000.0 NaN Commercial associate Higher education Single / not married House / apartment 0.046220 -8941 -434 -3981.000000 -1612 NaN 1 1 0 1 0 1 Core staff 1.0 1 1 TUESDAY 13 0 1 1 0 0 0 Bank NaN 0.472765 0.309275 0.0 0.0 0.0 0.0 -257.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 2.0 9.0
287340 432839 0 Cash loans F N N 1 157500.0 473760.0 47943.0 450000.0 NaN Working Secondary / secondary special Married With parents 0.030755 -13142 -2112 -3643.000000 -5238 NaN 1 1 0 1 0 0 Sales staff 3.0 2 2 MONDAY 9 0 0 0 0 0 0 Self-employed 0.518025 0.654176 NaN 0.0 0.0 0.0 0.0 -2280.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
287347 432847 0 Revolving loans F N N 1 90000.0 270000.0 13500.0 0.0 NaN Working Secondary / secondary special Married Rented apartment 0.009175 -11099 -2761 -4537.000000 -2377 NaN 1 1 0 1 1 0 Sales staff 3.0 2 2 SUNDAY 14 0 0 0 0 0 0 Self-employed 0.273940 0.725304 NaN 0.0 0.0 0.0 0.0 -216.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
287647 433202 0 Cash loans M N N 0 126000.0 1372500.0 36333.0 1372500.0 NaN Working Higher education Single / not married House / apartment 0.015221 -9924 -1450 -267.000000 -2409 NaN 1 1 0 1 0 0 Core staff 1.0 2 2 TUESDAY 16 0 0 0 0 0 0 Self-employed NaN 0.299684 0.176653 2.0 0.0 2.0 0.0 -328.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
287859 433460 0 Cash loans F N N 0 81000.0 314055.0 12091.5 238500.0 NaN Working Secondary / secondary special Separated House / apartment 0.008866 -14946 -2468 -7692.000000 -4126 NaN 1 1 0 1 1 0 Laborers 1.0 2 2 FRIDAY 17 0 0 0 0 0 0 Industry: type 3 NaN 0.344285 0.758393 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
287878 433484 0 Cash loans F N Y 0 135000.0 417024.0 18499.5 360000.0 NaN Pensioner Secondary / secondary special Single / not married House / apartment 0.010500 -20856 365243 -7883.000000 -508 NaN 1 0 0 1 0 0 NaN 1.0 3 3 TUESDAY 13 0 0 0 0 0 0 XNA NaN 0.200432 NaN 0.0 0.0 0.0 0.0 -109.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
288003 433638 0 Cash loans M N N 0 180000.0 675000.0 25146.0 675000.0 NaN Commercial associate Higher education Single / not married House / apartment 0.035792 -9488 -1505 -4057.000000 -2157 NaN 1 1 0 1 0 0 High skill tech staff 1.0 2 2 TUESDAY 15 0 0 0 0 1 1 Industry: type 9 0.301092 0.360558 0.454321 7.0 0.0 7.0 0.0 -1384.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
288114 433769 0 Cash loans F N N 0 157500.0 2220259.5 58698.0 1984500.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.025164 -21895 -662 -12106.000000 -4906 NaN 1 1 0 1 0 0 Security staff 2.0 2 2 SATURDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.668028 0.568061 NaN 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
288358 434059 0 Cash loans F N N 0 103500.0 135000.0 4090.5 135000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.003541 -23415 365243 -2553.000000 -4262 NaN 1 0 0 1 0 0 NaN 2.0 1 1 FRIDAY 13 0 0 0 0 0 0 XNA 0.830303 0.516271 0.567379 3.0 1.0 3.0 0.0 -3.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0 1.0 0.0 0.0 0.0 0.0
288411 434116 0 Cash loans M N N 0 517500.0 1984500.0 57006.0 1984500.0 NaN Commercial associate Academic degree Single / not married House / apartment 0.022800 -11408 -320 -578.000000 -4038 NaN 1 1 0 1 0 0 NaN 1.0 2 2 TUESDAY 11 0 0 0 0 0 0 Business Entity Type 3 0.317662 0.711078 0.350696 2.0 0.0 2.0 0.0 -4.0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 1.0 0.0 1.0 1.0
288423 434130 0 Cash loans M Y N 0 112500.0 625536.0 19093.5 540000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.025164 -18123 365243 -6045.000000 -1671 12.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 15 0 0 0 0 0 0 XNA NaN 0.585094 0.652897 3.0 0.0 3.0 0.0 -9.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
288669 434422 0 Cash loans F Y N 0 225000.0 728460.0 37134.0 675000.0 NaN Pensioner Higher education Married House / apartment 0.018801 -24232 365243 -3886.000000 -5203 64.0 1 0 0 1 0 1 NaN 2.0 2 2 MONDAY 12 0 0 0 0 0 0 XNA NaN 0.337833 0.504681 3.0 2.0 3.0 2.0 -2.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
288689 434446 0 Cash loans F Y N 0 180000.0 888840.0 29016.0 675000.0 NaN Working Secondary / secondary special Married House / apartment 0.032561 -19950 -5639 -8777.000000 -3383 2.0 1 1 0 1 0 0 Accountants 2.0 1 1 TUESDAY 18 0 1 1 0 1 1 Business Entity Type 3 0.732580 0.814758 0.492060 0.0 0.0 0.0 0.0 -2575.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 4.0 4.0 0.0 0.0 1.0
288781 434552 0 Cash loans F Y Y 0 315000.0 646920.0 17194.5 540000.0 NaN Commercial associate Secondary / secondary special Civil marriage House / apartment 0.018634 -13580 -3572 -1085.000000 -4186 3.0 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 11 0 0 0 0 0 0 Self-employed 0.524619 0.548033 0.647977 9.0 0.0 9.0 0.0 -932.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
289793 435732 0 Revolving loans F N Y 2 150750.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Civil marriage House / apartment 0.030755 -13541 -888 -2876.000000 -4256 NaN 1 1 1 1 1 1 NaN 4.0 2 2 MONDAY 14 0 0 0 0 0 0 Self-employed 0.580840 0.475399 0.312365 1.0 0.0 1.0 0.0 -1362.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
290617 436679 1 Cash loans M Y N 0 135000.0 276277.5 18261.0 238500.0 NaN Working Secondary / secondary special Married House / apartment 0.020713 -17165 -3272 -2430.000000 -694 12.0 1 1 0 1 0 0 Laborers 2.0 3 3 SATURDAY 12 0 0 0 0 1 1 Business Entity Type 3 NaN 0.588620 0.429424 2.0 0.0 2.0 0.0 -1577.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
290870 436966 0 Cash loans F Y N 0 144000.0 313438.5 16051.5 283500.0 NaN Pensioner Lower secondary Widow House / apartment 0.007020 -23274 365243 -9437.000000 -3177 6.0 1 0 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA NaN 0.346936 0.475850 1.0 0.0 1.0 0.0 -376.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 4.0
290948 437051 0 Cash loans F N Y 0 90000.0 331632.0 30816.0 315000.0 NaN Pensioner Secondary / secondary special Widow House / apartment 0.025164 -25045 365243 -12559.000000 -4356 NaN 1 0 0 1 1 0 NaN 1.0 2 2 THURSDAY 7 0 0 0 0 0 0 XNA NaN 0.250097 0.607557 2.0 0.0 2.0 0.0 -1115.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
291017 437125 0 Cash loans F N Y 0 112500.0 417024.0 27499.5 360000.0 NaN Working Secondary / secondary special Married House / apartment 0.018801 -14530 -384 -4307.000000 -4597 NaN 1 1 0 1 0 0 Sales staff 2.0 2 2 WEDNESDAY 11 0 0 0 0 0 0 Trade: type 7 NaN 0.158932 0.427657 7.0 1.0 7.0 1.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
291372 437555 0 Revolving loans F N N 2 99000.0 135000.0 6750.0 0.0 NaN Working Incomplete higher Married With parents 0.008474 -14082 -313 -6914.000000 -3354 NaN 1 1 1 1 1 0 NaN 4.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Business Entity Type 3 NaN 0.686397 0.643026 0.0 0.0 0.0 0.0 -2109.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
291384 437568 0 Revolving loans M N N 0 315000.0 675000.0 33750.0 0.0 NaN Working Secondary / secondary special Married Municipal apartment 0.020713 -12970 -5181 -562.000000 -4210 NaN 1 1 1 1 1 0 NaN 2.0 3 3 FRIDAY 6 0 0 0 0 0 0 Business Entity Type 3 NaN 0.034158 0.551381 0.0 0.0 0.0 0.0 -1184.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
291606 437824 0 Cash loans F Y N 1 247500.0 621000.0 28773.0 621000.0 NaN Working Incomplete higher Civil marriage House / apartment 0.018209 -9125 -1076 -8231.000000 -1799 1.0 1 1 0 1 0 0 Sales staff 3.0 3 3 FRIDAY 12 0 0 0 0 0 0 Business Entity Type 3 NaN 0.501800 0.408359 0.0 0.0 0.0 0.0 -435.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
292040 438322 0 Revolving loans F N N 0 90000.0 270000.0 13500.0 0.0 NaN Commercial associate Higher education Single / not married House / apartment 0.026392 -9108 -577 -3872.000000 -1773 NaN 1 1 0 1 1 0 NaN 1.0 2 2 FRIDAY 18 0 0 0 0 0 0 Business Entity Type 3 0.465968 0.692772 NaN 0.0 0.0 0.0 0.0 -314.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
292120 438413 0 Revolving loans F N Y 2 76500.0 202500.0 10125.0 0.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.005002 -14192 -1233 -6516.000000 -3316 NaN 1 1 1 1 0 0 NaN 3.0 3 3 TUESDAY 16 0 0 0 0 0 0 Business Entity Type 3 NaN 0.772014 0.772631 0.0 0.0 0.0 0.0 -3380.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
293387 439896 0 Cash loans M Y Y 0 112500.0 545040.0 17536.5 450000.0 NaN Pensioner Secondary / secondary special Single / not married House / apartment 0.008068 -22171 365243 -76.000000 -5445 17.0 1 0 0 1 0 0 NaN 1.0 3 3 THURSDAY 6 0 0 0 0 0 0 XNA NaN 0.327638 0.425893 0.0 0.0 0.0 0.0 -1684.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 5.0
293744 440318 0 Cash loans M Y N 0 157500.0 450000.0 42511.5 450000.0 NaN Commercial associate Higher education Single / not married With parents 0.031329 -10371 -1711 -3480.000000 -3046 1.0 1 1 0 1 0 1 Managers 1.0 2 2 THURSDAY 8 0 0 0 0 0 0 Self-employed 0.493734 0.332293 0.401407 1.0 1.0 1.0 1.0 -469.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
293794 440377 0 Cash loans F N N 1 45000.0 157050.0 8221.5 112500.0 NaN Working Secondary / secondary special Married House / apartment 0.016612 -13110 -1189 -1921.000000 -5630 NaN 1 1 1 1 0 0 Cooking staff 3.0 2 2 SATURDAY 13 0 0 0 0 0 0 Kindergarten NaN 0.556786 0.358951 0.0 0.0 0.0 0.0 -961.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
293879 440475 0 Cash loans M Y N 0 180000.0 675000.0 18693.0 675000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.030755 -12761 -240 -6639.000000 -3724 9.0 1 1 0 1 0 0 Laborers 2.0 2 2 FRIDAY 11 0 0 0 0 1 1 Medicine NaN 0.666962 0.122180 4.0 1.0 4.0 1.0 -1525.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 2.0 3.0
293911 440511 0 Cash loans M N Y 0 67500.0 180000.0 9540.0 180000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.015221 -24160 365243 -8008.000000 -1533 NaN 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 12 0 0 0 0 0 0 XNA 0.777111 0.505578 0.726711 4.0 0.0 4.0 0.0 -968.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
294087 440709 0 Cash loans F N N 0 112500.0 900000.0 45850.5 900000.0 NaN Working Secondary / secondary special Married House / apartment 0.026392 -18135 -208 -797.000000 -1678 NaN 1 1 1 1 1 0 NaN 2.0 2 2 SATURDAY 16 0 0 0 0 1 1 Business Entity Type 3 NaN 0.672178 NaN 1.0 0.0 1.0 0.0 -8.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
294109 440734 0 Cash loans M Y Y 1 247500.0 651600.0 38227.5 562500.0 NaN Working Incomplete higher Married House / apartment 0.007330 -17399 -1454 -4083.000000 -555 10.0 1 1 0 1 0 0 Managers 3.0 2 2 THURSDAY 11 0 0 0 0 0 0 Self-employed 0.609599 0.706922 NaN 0.0 0.0 0.0 0.0 -210.0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
294136 440763 0 Revolving loans F N N 2 135000.0 180000.0 9000.0 0.0 NaN State servant Incomplete higher Married Rented apartment 0.008625 -11124 -805 -655.000000 -2234 NaN 1 1 1 1 0 0 High skill tech staff 4.0 2 2 FRIDAY 14 0 0 0 0 0 0 Military NaN 0.570468 0.252599 0.0 0.0 0.0 0.0 -491.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
294508 441195 0 Cash loans F N Y 1 81000.0 135000.0 9148.5 135000.0 NaN Working Higher education Married House / apartment 0.026392 -10152 -294 -861.000000 -2813 NaN 1 1 1 1 0 0 Sales staff 3.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.261792 0.692213 0.377404 0.0 0.0 0.0 0.0 -637.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
294887 441632 0 Cash loans F N N 0 135000.0 1185282.0 34096.5 1035000.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.022625 -18125 -9959 -6098.000000 -1636 NaN 1 1 0 1 0 0 NaN 1.0 2 2 SATURDAY 11 0 0 0 0 0 0 School NaN 0.745828 0.511892 1.0 0.0 1.0 0.0 -707.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
295194 441989 0 Cash loans M N Y 0 180000.0 942300.0 26041.5 675000.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.010032 -14034 -225 -3409.000000 -4076 NaN 1 1 0 1 0 0 Sales staff 1.0 2 2 THURSDAY 4 0 0 0 0 0 0 Business Entity Type 3 0.214634 0.646519 0.169429 1.0 0.0 1.0 0.0 -26.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
295295 442115 0 Revolving loans F N N 1 90000.0 225000.0 11250.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.009175 -10909 -2201 -4552.000000 -3571 NaN 1 1 1 1 1 0 Private service staff 3.0 2 2 SATURDAY 16 0 0 0 0 0 0 Self-employed NaN 0.673338 0.602386 6.0 0.0 6.0 0.0 -598.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0
295411 442248 0 Cash loans M Y Y 0 47250.0 134775.0 5836.5 112500.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.005313 -22828 365243 -10710.000000 -4650 17.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 9 0 0 0 0 0 0 XNA NaN 0.445172 0.754406 0.0 0.0 0.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
295463 442313 0 Cash loans M Y N 2 135000.0 1019610.0 31041.0 913500.0 NaN Working Secondary / secondary special Married House / apartment 0.035792 -12506 -191 -228.000000 -4736 3.0 1 1 1 1 1 0 Drivers 4.0 2 2 MONDAY 17 0 0 0 0 1 1 Business Entity Type 3 NaN 0.725095 0.495666 0.0 0.0 0.0 0.0 -1875.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
296502 443520 0 Cash loans F N N 1 135000.0 256500.0 24358.5 256500.0 NaN Commercial associate Higher education Married Co-op apartment 0.015221 -14475 -4514 -4924.000000 -4981 NaN 1 1 0 1 1 0 Sales staff 3.0 2 2 THURSDAY 13 0 0 0 0 0 0 Trade: type 3 0.551397 0.540885 0.403142 3.0 0.0 3.0 0.0 -1322.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
296673 443720 0 Cash loans F Y N 1 279000.0 1971072.0 62019.0 1800000.0 NaN State servant Secondary / secondary special Civil marriage House / apartment 0.011657 -10371 -2967 -7645.000000 -2953 9.0 1 1 0 1 0 1 Medicine staff 3.0 1 1 WEDNESDAY 13 0 1 1 1 0 0 Business Entity Type 3 0.260252 0.696117 0.569149 2.0 2.0 2.0 2.0 -1462.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
297166 444282 0 Cash loans F Y N 0 269311.5 1350000.0 41062.5 1350000.0 NaN Commercial associate Higher education Married House / apartment 0.030755 -10890 -2402 -3204.000000 -1545 1.0 1 1 1 1 1 0 Core staff 2.0 2 2 TUESDAY 17 0 0 0 0 0 0 Electricity NaN 0.268869 0.535276 0.0 0.0 0.0 0.0 -712.0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
297236 444362 0 Cash loans F N N 0 45000.0 286704.0 12757.5 247500.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.008019 -24326 365243 -13020.000000 -4264 NaN 1 0 0 1 0 0 NaN 2.0 2 2 TUESDAY 10 0 0 0 0 0 0 XNA NaN 0.663846 0.616122 1.0 0.0 1.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
297387 444539 0 Cash loans F Y N 2 67500.0 269550.0 18081.0 225000.0 NaN Working Secondary / secondary special Married House / apartment 0.008068 -9349 -291 -736.000000 -1807 12.0 1 1 0 1 0 0 Laborers 4.0 3 3 WEDNESDAY 11 0 0 0 0 0 0 Security 0.500838 0.210941 0.544235 4.0 0.0 4.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
297445 444601 0 Cash loans F N Y 0 112500.0 592560.0 22698.0 450000.0 NaN Working Secondary / secondary special Separated House / apartment 0.006852 -19722 -102 -4797.000000 -3265 NaN 1 1 0 1 0 0 Core staff 1.0 3 3 THURSDAY 10 0 0 0 0 0 0 Hotel 0.835721 0.252851 0.372334 2.0 0.0 2.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
297495 444660 0 Cash loans F N Y 1 76500.0 225000.0 13527.0 225000.0 NaN Working Higher education Married House / apartment 0.018209 -11178 -1580 -2008.000000 -3368 NaN 1 1 0 1 0 0 Core staff 3.0 3 3 WEDNESDAY 10 0 0 0 0 0 0 Bank 0.508461 0.483924 0.799297 5.0 0.0 4.0 0.0 -1094.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
298004 445250 0 Revolving loans M N Y 2 90000.0 180000.0 9000.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.024610 -11771 -2479 -3872.000000 -3913 NaN 1 1 0 1 0 0 Laborers 4.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 Business Entity Type 2 0.151076 0.591392 NaN 1.0 0.0 1.0 0.0 -161.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
298502 445809 0 Cash loans F Y N 0 360000.0 2250000.0 59355.0 2250000.0 NaN Commercial associate Higher education Married House / apartment 0.035792 -9876 -2064 -4752.000000 -2341 3.0 1 1 1 1 1 0 Managers 2.0 2 2 THURSDAY 14 0 0 0 0 0 0 Business Entity Type 3 0.727105 0.657439 0.411849 1.0 0.0 1.0 0.0 -1345.0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 2.0 1.0
298521 445835 0 Cash loans F N N 0 112500.0 405000.0 12406.5 405000.0 NaN Working Secondary / secondary special Civil marriage House / apartment 0.022625 -14689 -1017 -7872.000000 -4315 NaN 1 1 0 1 1 0 NaN 2.0 2 2 THURSDAY 11 0 0 0 0 0 0 Self-employed 0.582486 0.703344 0.678568 3.0 0.0 3.0 0.0 -237.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
298583 445910 0 Cash loans M N Y 0 85500.0 129519.0 12937.5 121500.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.006629 -23769 365243 -3313.000000 -1458 NaN 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 8 0 0 0 1 0 0 XNA NaN 0.740893 0.517297 1.0 0.0 1.0 0.0 -1.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
298646 445986 0 Cash loans M Y N 1 270000.0 1706548.5 66775.5 1593000.0 NaN Commercial associate Higher education Married With parents 0.046220 -10940 -456 -4812.000000 -3413 64.0 1 1 0 1 0 0 Sales staff 3.0 1 1 FRIDAY 19 0 0 0 0 0 0 Business Entity Type 3 NaN 0.278246 0.101459 3.0 0.0 3.0 0.0 -340.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
298832 446193 0 Cash loans M Y N 1 135000.0 906615.0 28597.5 688500.0 NaN Working Secondary / secondary special Married House / apartment 0.008625 -19062 -3109 -184.000000 -2234 16.0 1 1 0 1 0 0 Drivers 3.0 2 2 WEDNESDAY 17 0 0 0 0 0 0 Self-employed NaN 0.776906 NaN 3.0 0.0 3.0 0.0 -742.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
299619 447111 0 Cash loans F N N 0 283500.0 1800000.0 51718.5 1800000.0 NaN Commercial associate Higher education Married House / apartment 0.003541 -12125 -3256 -1913.000000 -4286 NaN 1 1 0 1 0 0 NaN 2.0 1 1 WEDNESDAY 10 0 0 0 0 0 0 Industry: type 9 0.451247 0.662894 0.441836 0.0 0.0 0.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
299820 447340 0 Cash loans M Y Y 0 81000.0 247275.0 17586.0 225000.0 NaN Pensioner Secondary / secondary special Married House / apartment 0.018634 -23862 365243 -5268.000000 -4957 29.0 1 0 0 1 0 0 NaN 2.0 2 2 TUESDAY 9 0 0 0 0 0 0 XNA NaN 0.477652 0.604113 11.0 0.0 10.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 2.0
300028 447579 0 Cash loans F Y N 0 90000.0 225000.0 12006.0 225000.0 NaN Commercial associate Secondary / secondary special Married House / apartment 0.026392 -14939 -6115 -3107.000000 -4696 3.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 12 0 0 0 0 0 0 School NaN 0.706909 NaN 3.0 1.0 3.0 1.0 -157.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
300107 447675 0 Revolving loans F N Y 1 405000.0 810000.0 40500.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.010006 -16267 -4206 -5283.000000 -3632 NaN 1 1 1 1 1 1 Drivers 3.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Self-employed NaN 0.690557 0.120641 0.0 0.0 0.0 0.0 -532.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
300428 448059 0 Cash loans F N N 1 90000.0 225000.0 8568.0 225000.0 NaN Working Secondary / secondary special Married House / apartment 0.008068 -11880 -1770 -638.000000 -3642 NaN 1 1 0 1 0 0 Accountants 3.0 3 3 SUNDAY 8 0 0 0 0 0 0 Other 0.377427 0.361718 0.600658 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
300481 448115 0 Cash loans F N N 0 225000.0 1350000.0 35613.0 1350000.0 NaN Working Higher education Married House / apartment 0.006629 -13400 -101 -3361.000000 -4772 NaN 1 1 0 1 0 0 Core staff 2.0 2 2 MONDAY 12 0 0 0 0 0 0 Industry: type 9 0.762998 0.596060 0.789880 1.0 0.0 1.0 0.0 -263.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0
301361 449130 0 Cash loans F N N 1 112500.0 379237.5 14184.0 288000.0 NaN State servant Higher education Married House / apartment 0.020246 -10121 -2446 -915.000000 -1979 NaN 1 1 0 1 0 0 Core staff 3.0 3 3 FRIDAY 7 0 0 0 0 0 0 Government 0.310270 0.157100 0.728141 0.0 0.0 0.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
302276 450205 0 Cash loans F N Y 1 180000.0 640080.0 20227.5 450000.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.005002 -11001 -246 -1774.000000 -3562 NaN 1 1 0 1 0 0 Sales staff 2.0 3 3 MONDAY 14 0 0 0 0 0 0 Self-employed 0.438377 0.705157 0.207964 0.0 0.0 0.0 0.0 -629.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
302310 450245 0 Cash loans M Y N 0 180000.0 254700.0 23697.0 225000.0 NaN Working Higher education Single / not married House / apartment 0.035792 -9422 -593 -3398.000000 -2108 5.0 1 1 0 1 1 0 Laborers 1.0 2 2 WEDNESDAY 18 0 0 0 0 1 1 Business Entity Type 3 NaN 0.569418 0.303146 1.0 0.0 1.0 0.0 -1451.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
302503 450470 0 Cash loans F N N 0 112500.0 675000.0 21492.0 675000.0 NaN Commercial associate Higher education Single / not married House / apartment 0.026392 -10443 -179 -4156.000000 -1217 NaN 1 1 0 1 0 0 Managers 1.0 2 2 TUESDAY 16 0 0 0 1 1 0 Business Entity Type 3 0.299532 0.764220 0.513694 0.0 0.0 0.0 0.0 -13.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
302793 450809 0 Cash loans M N N 0 103500.0 688500.0 25645.5 688500.0 NaN Working Higher education Civil marriage House / apartment 0.018634 -11739 -2611 -3945.000000 -4064 NaN 1 1 1 1 0 0 Core staff 2.0 2 2 FRIDAY 15 0 0 0 0 0 0 Trade: type 2 NaN 0.787335 NaN 3.0 0.0 3.0 0.0 -1028.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
302885 450915 0 Cash loans M N N 0 135000.0 720000.0 46683.0 720000.0 NaN Working Higher education Single / not married House / apartment 0.019101 -10512 -574 -4330.000000 -3154 NaN 1 1 0 1 0 0 Core staff 1.0 2 2 MONDAY 11 0 0 0 1 1 0 Police 0.318636 0.632017 0.694093 1.0 0.0 1.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
302923 450959 0 Revolving loans F N Y 0 126000.0 337500.0 16875.0 0.0 NaN Working Secondary / secondary special Widow House / apartment 0.020713 -23162 -15871 -2388.000000 -4284 NaN 1 1 1 1 1 0 NaN 1.0 3 3 WEDNESDAY 12 0 0 0 0 0 0 Business Entity Type 2 NaN 0.635742 0.089631 0.0 0.0 0.0 0.0 -1614.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
303042 451093 1 Cash loans F N N 0 112500.0 542133.0 17442.0 468000.0 NaN Pensioner Secondary / secondary special Civil marriage House / apartment 0.010147 -20929 365243 -10010.000000 -4237 NaN 1 0 0 1 1 0 NaN 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA NaN 0.500303 0.218859 0.0 0.0 0.0 0.0 -617.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
303160 451233 0 Cash loans F N Y 0 135000.0 781920.0 23836.5 675000.0 NaN Pensioner Secondary / secondary special Separated House / apartment 0.025164 -20157 365243 -2940.000000 -3472 NaN 1 0 0 1 0 0 NaN 1.0 2 2 FRIDAY 7 0 0 0 0 0 0 XNA NaN 0.290987 NaN 1.0 0.0 1.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
303186 451266 0 Cash loans M N N 0 148500.0 1381113.0 36562.5 1206000.0 NaN State servant Higher education Single / not married House / apartment 0.011703 -8501 -1921 -8463.000000 -1124 NaN 1 1 0 1 0 0 Core staff 1.0 2 2 MONDAY 19 0 0 0 0 0 0 Police NaN 0.647298 0.634706 0.0 0.0 0.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
303250 451343 0 Cash loans M Y N 1 360000.0 1206000.0 31810.5 1206000.0 NaN Working Higher education Married House / apartment 0.015221 -15979 -1068 -5299.000000 -4650 7.0 1 1 0 1 0 0 Laborers 3.0 2 2 TUESDAY 13 0 0 0 0 1 1 Self-employed NaN 0.537674 0.396220 2.0 0.0 2.0 0.0 -721.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
303603 451760 0 Revolving loans F N Y 0 135000.0 135000.0 6750.0 0.0 NaN Commercial associate Secondary / secondary special Civil marriage Municipal apartment 0.009175 -11236 -2034 -594.000000 -2157 NaN 1 1 1 1 0 0 High skill tech staff 2.0 2 2 SUNDAY 17 0 0 0 0 0 0 University NaN 0.703107 0.347418 0.0 0.0 0.0 0.0 -757.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
303621 451781 0 Revolving loans F N Y 0 112500.0 180000.0 9000.0 0.0 NaN Working Incomplete higher Civil marriage House / apartment 0.007330 -7836 -434 -5474.000000 -492 NaN 1 1 1 1 1 0 Core staff 2.0 2 2 THURSDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.202586 0.475922 NaN 2.0 0.0 2.0 0.0 -618.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
304196 452445 0 Cash loans F N Y 2 175500.0 854352.0 22666.5 612000.0 NaN Commercial associate Higher education Married House / apartment 0.007305 -12843 -324 -6720.000000 -2253 NaN 1 1 0 1 0 1 Core staff 4.0 3 3 FRIDAY 13 0 0 0 0 0 0 Other 0.682898 0.540754 0.522697 0.0 0.0 0.0 0.0 -981.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 3.0 0.0 1.0
304272 452528 0 Cash loans M Y N 0 115546.5 423000.0 12253.5 423000.0 NaN Commercial associate Secondary / secondary special Married With parents 0.035792 -16078 -251 -420.000000 -46 18.0 1 1 0 1 0 0 Low-skill Laborers 2.0 2 2 WEDNESDAY 12 0 0 0 0 1 1 Business Entity Type 3 NaN 0.573578 0.310818 8.0 0.0 8.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
304458 452740 0 Cash loans F Y N 0 202500.0 999886.5 50922.0 945000.0 NaN Commercial associate Higher education Married House / apartment 0.072508 -19559 -1537 -6054.000000 -2504 4.0 1 1 0 1 0 0 NaN 2.0 1 1 FRIDAY 15 0 0 0 0 0 0 Business Entity Type 3 NaN 0.761332 0.240541 1.0 1.0 1.0 1.0 -5.0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
304565 452863 0 Cash loans F Y N 0 360000.0 1649646.0 47407.5 1377000.0 NaN Working Secondary / secondary special Single / not married With parents 0.031329 -9344 -1166 -4098.000000 -1154 1.0 1 1 0 1 0 1 NaN 1.0 2 2 THURSDAY 16 0 0 0 0 1 1 Business Entity Type 3 0.492700 0.402412 NaN 0.0 0.0 0.0 0.0 -1890.0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0
304621 452926 0 Revolving loans F N Y 0 90000.0 247500.0 12375.0 0.0 NaN Pensioner Secondary / secondary special Widow House / apartment 0.006008 -20728 365243 -10861.000000 -4110 NaN 1 0 0 1 1 0 NaN 1.0 2 2 FRIDAY 12 0 0 0 0 0 0 XNA NaN 0.624966 0.511892 0.0 0.0 0.0 0.0 -562.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 3.0
304678 452992 0 Revolving loans F N Y 2 67500.0 202500.0 10125.0 0.0 NaN Working Higher education Married House / apartment 0.025164 -11313 -1470 -1188.000000 -3523 NaN 1 1 1 1 0 0 Sales staff 4.0 2 2 WEDNESDAY 11 0 0 0 1 0 1 Business Entity Type 3 NaN 0.449139 0.574447 3.0 1.0 3.0 0.0 -777.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
304688 453006 0 Cash loans M Y N 2 225000.0 1130760.0 29956.5 810000.0 NaN Working Higher education Married House / apartment 0.022625 -10873 -264 -1696.000000 -3549 3.0 1 1 0 1 0 0 Managers 4.0 2 2 MONDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.275852 0.760556 0.447179 0.0 0.0 0.0 0.0 -6.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
304742 453065 0 Cash loans M Y N 0 180000.0 254700.0 24192.0 225000.0 NaN Working Secondary / secondary special Married House / apartment 0.007274 -18015 -2332 -1089.000000 -1559 6.0 1 1 0 1 1 0 Drivers 2.0 2 2 THURSDAY 13 0 0 0 0 0 0 Construction NaN 0.610914 0.738020 2.0 0.0 2.0 0.0 -498.0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
304784 453120 0 Revolving loans M N Y 1 112500.0 270000.0 13500.0 0.0 NaN Working Secondary / secondary special Married House / apartment 0.028663 -16870 -825 -1303.000000 -427 NaN 1 1 1 1 1 0 Drivers 3.0 2 2 THURSDAY 10 0 0 0 1 1 1 Self-employed NaN 0.441976 0.459690 3.0 1.0 3.0 1.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
304979 453340 1 Cash loans F N N 0 202500.0 1381113.0 38110.5 1206000.0 NaN Working Higher education Separated House / apartment 0.030755 -11908 -937 -35.000000 -4267 NaN 1 1 0 1 0 0 Core staff 1.0 2 2 MONDAY 16 0 0 0 0 0 0 Self-employed 0.458776 0.614552 0.321735 0.0 0.0 0.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
305150 453543 0 Cash loans F N Y 0 202500.0 584014.5 25852.5 522000.0 NaN Pensioner Secondary / secondary special Civil marriage House / apartment 0.030755 -20627 365243 -2849.000000 -3915 NaN 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 17 0 0 0 0 0 0 XNA 0.735185 0.662190 0.461482 1.0 1.0 1.0 1.0 -2439.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 7.0
305833 454341 0 Revolving loans F N Y 0 126000.0 270000.0 13500.0 0.0 NaN Working Incomplete higher Single / not married With parents 0.015221 -10440 -3444 -4452.000000 -3096 NaN 1 1 1 1 1 0 Core staff 1.0 2 2 THURSDAY 10 0 0 0 0 0 0 Self-employed 0.164542 0.480353 0.698668 2.0 0.0 2.0 0.0 -163.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
305862 454373 0 Cash loans F N N 0 157500.0 625536.0 19093.5 540000.0 NaN Working Secondary / secondary special Single / not married House / apartment 0.025164 -17362 -2484 -10299.000000 -917 NaN 1 1 0 1 0 0 Sales staff 1.0 2 2 MONDAY 10 0 0 0 0 0 0 Self-employed NaN 0.268478 0.609276 2.0 0.0 2.0 0.0 -2251.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 9.0
306045 454587 0 Cash loans M N N 2 180000.0 900000.0 41836.5 900000.0 NaN Commercial associate Secondary / secondary special Single / not married Co-op apartment 0.031329 -16648 -1824 -9121.000000 -193 NaN 1 1 0 1 1 0 Drivers 3.0 2 2 THURSDAY 13 0 0 0 0 1 1 Business Entity Type 2 NaN 0.702312 0.684828 0.0 0.0 0.0 0.0 -587.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
306076 454623 0 Cash loans F N N 0 157500.0 1264428.0 33484.5 990000.0 NaN Commercial associate Secondary / secondary special Civil marriage House / apartment 0.019689 -17125 -815 -551.000000 -671 NaN 1 1 0 1 0 0 NaN 2.0 2 2 FRIDAY 10 0 0 0 0 1 1 Business Entity Type 3 NaN 0.318580 0.562060 3.0 0.0 3.0 0.0 -3277.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
306126 454683 0 Revolving loans M N Y 0 135000.0 270000.0 13500.0 0.0 NaN Commercial associate Secondary / secondary special Married Municipal apartment 0.046220 -15406 -427 -8924.000000 -4101 NaN 1 1 1 1 1 0 NaN 2.0 1 1 THURSDAY 16 0 1 1 0 1 1 Security 0.715165 0.675154 0.321735 0.0 0.0 0.0 0.0 -188.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
306130 454688 0 Cash loans M N N 0 157500.0 225000.0 6448.5 225000.0 NaN Working Higher education Single / not married House / apartment 0.019101 -9234 -1193 -2854.000000 -1192 NaN 1 1 0 1 0 0 Core staff 1.0 2 2 FRIDAY 18 0 0 0 0 0 0 Bank 0.486678 0.619327 0.410103 0.0 0.0 0.0 0.0 -843.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
306273 454852 0 Revolving loans M N Y 2 67500.0 202500.0 10125.0 0.0 NaN Working Higher education Married House / apartment 0.020713 -14079 -1648 -2492.000000 -4905 NaN 1 1 1 1 1 0 Laborers 4.0 3 3 THURSDAY 6 0 0 0 0 0 0 Self-employed 0.411601 0.608328 NaN 0.0 0.0 0.0 0.0 -1154.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
306544 455158 0 Cash loans F N N 0 180000.0 894825.0 23602.5 894825.0 NaN Commercial associate Secondary / secondary special Single / not married House / apartment 0.026392 -19625 -1634 -12077.000000 -721 NaN 1 1 1 1 1 0 Laborers 1.0 2 2 MONDAY 18 0 0 0 0 0 0 Business Entity Type 3 NaN 0.601387 NaN 4.0 0.0 4.0 0.0 -363.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
306615 455245 0 Cash loans M N N 0 180000.0 225000.0 8469.0 225000.0 NaN Commercial associate Higher education Married House / apartment 0.011703 -20415 -5351 -12516.000000 -3941 NaN 1 1 0 1 0 1 Managers 2.0 2 2 WEDNESDAY 18 0 0 0 0 0 0 Trade: type 7 0.805366 0.709160 0.595456 0.0 0.0 0.0 0.0 -2042.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
306636 455270 0 Cash loans M Y N 2 189000.0 677664.0 21406.5 585000.0 NaN State servant Higher education Married House / apartment 0.018801 -15010 -417 -81.000000 -4588 20.0 1 1 0 1 0 0 NaN 4.0 2 2 THURSDAY 14 0 0 0 0 1 1 University 0.701244 0.611870 0.111756 8.0 0.0 8.0 0.0 -918.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0.0 0.0 0.0 0.0 0.0 0.0
306725 455367 0 Cash loans F N Y 0 202500.0 755190.0 27985.5 675000.0 NaN Pensioner Secondary / secondary special Widow House / apartment 0.046220 -24336 365243 -7653.000000 -2940 NaN 1 0 0 1 1 0 NaN 1.0 1 1 THURSDAY 10 0 0 0 0 0 0 XNA NaN 0.769591 0.267869 0.0 0.0 0.0 0.0 -1699.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 4.0

1292 rows × 75 columns

In [120]:
ap1["NAME_CONTRACT_TYPE"].value_counts()
Out[120]:
Cash loans         1007
Revolving loans     285
Name: NAME_CONTRACT_TYPE, dtype: int64

Most of the missing entries with NAME TYPE SUITE is contract based on cash loans.

A cash loan is a loan which is received by the borrower in cash. This sets it apart from overdraft loans, installment loans and leases. Cash loans may be given to a private individual as a personal loan or to a business as a business loan

In [121]:
app["NAME_TYPE_SUITE"].value_counts()
Out[121]:
Unaccompanied      248526
Family              40149
Spouse, partner     11370
Children             3267
Other_B              1770
Other_A               866
Group of people       271
Name: NAME_TYPE_SUITE, dtype: int64
In [122]:
### This column is a categorical variable, we can do the imputation with mode
app["NAME_TYPE_SUITE"].fillna(value = app["NAME_TYPE_SUITE"].mode()[0], inplace = True)
In [124]:
app["NAME_TYPE_SUITE"].isnull().sum()
Out[124]:
0
In [125]:
app.columns[app.isna().any()]
Out[125]:
Index(['AMT_ANNUITY', 'OWN_CAR_AGE', 'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS',
       'EXT_SOURCE_1', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
       'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
       'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
       'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR',
       'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
       'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
       'AMT_REQ_CREDIT_BUREAU_YEAR'],
      dtype='object')
In [126]:
#### Checking on next column 'OWN_CAR_AGE'
app["OWN_CAR_AGE"].isnull().value_counts()
Out[126]:
True     202929
False    104582
Name: OWN_CAR_AGE, dtype: int64
In [127]:
app["OWN_CAR_AGE"].isnull().sum()/len(app)*100
Out[127]:
65.9908100848425
In [128]:
app["OWN_CAR_AGE"].unique()
Out[128]:
array([nan, 26., 17.,  8., 23.,  7., 14.,  1.,  3., 13., 10.,  2., 21.,
       20., 22., 65.,  5., 11.,  9.,  4., 15., 12., 25.,  6., 64.,  0.,
       27., 19., 28., 18., 16., 30., 36., 24., 39., 29., 40., 41., 31.,
       42., 37., 35., 34., 33., 54., 38., 32., 43., 55., 49., 44., 63.,
       46., 45., 48., 56., 51., 57., 69., 50., 47., 91., 52.])

We have 65% of missing entries with 'OWN CAR AGE ' column, may be people have cars let check

In [129]:
app[app["FLAG_OWN_CAR"] == 'N'][["FLAG_OWN_CAR", "OWN_CAR_AGE"]].head()
Out[129]:
FLAG_OWN_CAR OWN_CAR_AGE
0 N NaN
1 N NaN
3 N NaN
4 N NaN
5 N NaN
In [130]:
### It appears the most of the people have no cars....we can impute the car age as zero since they dont own car
app["OWN_CAR_AGE"].fillna(value = 0, inplace =True)
In [131]:
app["OWN_CAR_AGE"].isnull().sum()
Out[131]:
0
In [132]:
app.columns[app.isnull().any()]
Out[132]:
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS', 'EXT_SOURCE_1',
       'EXT_SOURCE_2', 'EXT_SOURCE_3', 'OBS_30_CNT_SOCIAL_CIRCLE',
       'DEF_30_CNT_SOCIAL_CIRCLE', 'OBS_60_CNT_SOCIAL_CIRCLE',
       'DEF_60_CNT_SOCIAL_CIRCLE', 'DAYS_LAST_PHONE_CHANGE',
       'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
       'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
       'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR'],
      dtype='object')
In [133]:
app["OCCUPATION_TYPE"].unique()
Out[133]:
array(['Laborers', 'Core staff', 'Accountants', 'Managers', nan,
       'Drivers', 'Sales staff', 'Cleaning staff', 'Cooking staff',
       'Private service staff', 'Medicine staff', 'Security staff',
       'High skill tech staff', 'Waiters/barmen staff',
       'Low-skill Laborers', 'Realty agents', 'Secretaries', 'IT staff',
       'HR staff'], dtype=object)
In [134]:
app[app["OCCUPATION_TYPE"].isnull()]
Out[134]:
SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE NAME_TYPE_SUITE NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL OCCUPATION_TYPE CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY WEEKDAY_APPR_PROCESS_START HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY ORGANIZATION_TYPE EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
8 100011 0 Cash loans F N Y 0 112500.000 1019610.0 33826.5 913500.0 Children Pensioner Secondary / secondary special Married House / apartment 0.018634 -20099 365243 -7427.0 -3514 0.0 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 XNA 0.587334 0.205747 0.751724 1.0 0.0 1.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
11 100015 0 Cash loans F N Y 0 38419.155 148365.0 10678.5 135000.0 Children Pensioner Secondary / secondary special Married House / apartment 0.015221 -20417 365243 -5246.0 -2512 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 7 0 0 0 0 0 0 XNA 0.722044 0.555183 0.652897 0.0 0.0 0.0 0.0 -2396.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
23 100027 0 Cash loans F N Y 0 83250.000 239850.0 23850.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.006296 -24827 365243 -9012.0 -3684 0.0 1 0 0 1 1 0 NaN 2.0 3 3 FRIDAY 12 0 0 0 0 0 0 XNA NaN 0.624305 0.669057 0.0 0.0 0.0 0.0 -795.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
28 100033 0 Cash loans M Y Y 0 270000.000 790830.0 57676.5 675000.0 Unaccompanied State servant Higher education Single / not married House / apartment 0.046220 -9994 -1796 -4668.0 -2661 1.0 1 1 0 1 0 1 NaN 1.0 1 1 WEDNESDAY 11 0 1 1 0 0 0 Military 0.600396 0.685011 0.524496 0.0 0.0 0.0 0.0 -849.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0
30 100035 0 Cash loans F N Y 0 292500.000 665892.0 24592.5 477000.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.025164 -15280 -2668 -5266.0 -3787 0.0 1 1 0 1 0 1 NaN 2.0 2 2 WEDNESDAY 13 0 0 0 0 0 0 Business Entity Type 3 NaN 0.479987 0.410103 0.0 0.0 0.0 0.0 -1634.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 5.0
38 100045 0 Cash loans F N Y 0 99000.000 247275.0 17338.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.006207 -23920 365243 -9817.0 -4969 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 11 0 0 0 0 0 0 XNA NaN 0.650765 0.751724 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
43 100050 0 Cash loans F N Y 0 108000.000 746280.0 42970.5 675000.0 Unaccompanied Pensioner Higher education Single / not married House / apartment 0.010966 -23548 365243 -5745.0 -4576 0.0 1 0 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA NaN 0.766138 0.684828 0.0 0.0 0.0 0.0 -491.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
44 100051 0 Cash loans M N Y 0 202500.000 661702.5 48280.5 598500.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.007114 -9827 -758 -4166.0 -2380 0.0 1 1 1 1 0 0 NaN 2.0 2 2 WEDNESDAY 12 0 0 0 0 1 1 Business Entity Type 3 NaN 0.631519 NaN 1.0 0.0 1.0 0.0 -556.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
46 100053 0 Cash loans F N Y 0 202500.000 305221.5 17649.0 252000.0 Family Pensioner Secondary / secondary special Single / not married House / apartment 0.019689 -20373 365243 -7760.0 -1993 0.0 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 8 0 0 0 0 0 0 XNA NaN 0.247665 0.475850 0.0 0.0 0.0 0.0 -649.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 4.0
52 100060 0 Cash loans M Y N 0 76500.000 454500.0 14661.0 454500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.028663 -12282 -778 -1824.0 -1992 13.0 1 1 1 1 0 0 NaN 2.0 2 2 TUESDAY 10 0 0 0 0 0 0 Emergency 0.244562 0.705947 0.799297 4.0 0.0 4.0 0.0 -466.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
54 100062 0 Cash loans M Y N 0 81000.000 675000.0 32472.0 675000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.010006 -18611 365243 -6936.0 -2142 8.0 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 17 0 0 0 0 0 0 XNA NaN 0.662865 0.738020 0.0 0.0 0.0 0.0 -462.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
56 100064 0 Cash loans F N N 0 67500.000 298728.0 15381.0 202500.0 Family Pensioner Secondary / secondary special Single / not married Municipal apartment 0.019101 -21621 365243 -2019.0 -1344 0.0 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 9 0 0 0 0 0 0 XNA NaN 0.622708 0.169429 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
62 100073 0 Cash loans M Y Y 0 324000.000 1130760.0 40189.5 810000.0 Unaccompanied Pensioner Higher education Civil marriage House / apartment 0.018850 -22843 365243 -1042.0 -3967 10.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 9 0 0 0 0 0 0 XNA NaN 0.733051 0.234015 0.0 0.0 0.0 0.0 -2385.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
63 100075 0 Cash loans F N N 0 112500.000 95940.0 10462.5 90000.0 Family Working Higher education Single / not married House / apartment 0.004960 -12240 -3720 -5246.0 -4541 0.0 1 1 0 1 0 0 NaN 1.0 2 2 MONDAY 14 0 0 0 0 0 0 University 0.299606 0.664544 0.492060 0.0 0.0 0.0 0.0 -280.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
76 100088 0 Revolving loans F N N 0 112500.000 135000.0 6750.0 135000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.022800 -19467 -4066 -4623.0 -2975 0.0 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 15 0 0 0 0 0 0 School NaN 0.585174 0.408359 0.0 0.0 0.0 0.0 -1537.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
79 100094 0 Cash loans F N Y 0 108000.000 113760.0 5301.0 90000.0 Unaccompanied Pensioner Higher education Single / not married House / apartment 0.030755 -22935 365243 -12623.0 -3442 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 10 0 0 0 0 0 0 XNA NaN 0.582735 0.452534 3.0 0.0 3.0 0.0 -260.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
81 100096 1 Cash loans F N Y 0 81000.000 252000.0 14593.5 252000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.028663 -24794 365243 -5391.0 -4199 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 10 0 0 0 0 0 0 XNA NaN 0.023952 0.720944 1.0 1.0 1.0 1.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
82 100097 0 Cash loans M Y Y 0 157500.000 760225.5 30280.5 679500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.035792 -17527 -2442 -3500.0 -983 20.0 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 10 0 0 0 0 1 1 Business Entity Type 3 NaN 0.357342 0.644679 6.0 0.0 6.0 0.0 -371.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 0.0 0.0
84 100099 0 Cash loans F N Y 0 360000.000 733315.5 41076.0 679500.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.009175 -23032 365243 -9506.0 -793 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 12 1 0 0 0 0 0 XNA NaN 0.660579 0.342529 4.0 0.0 4.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
88 100103 0 Cash loans F N Y 0 72000.000 450000.0 16965.0 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.009175 -21112 -1694 -6057.0 -4013 0.0 1 1 1 1 0 0 NaN 2.0 2 2 FRIDAY 12 0 0 0 0 0 0 School NaN 0.718058 0.511892 4.0 0.0 4.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
94 100112 1 Cash loans M Y Y 0 315000.000 953460.0 64107.0 900000.0 Family Commercial associate Incomplete higher Single / not married With parents 0.030755 -10199 -2015 -4802.0 -1038 2.0 1 1 0 1 0 0 NaN 1.0 2 2 SUNDAY 13 0 0 0 0 1 1 Industry: type 4 NaN 0.432340 0.077499 0.0 0.0 0.0 0.0 -591.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
97 100115 0 Cash loans F N N 0 90000.000 315000.0 14683.5 315000.0 Spouse, partner Working Secondary / secondary special Married House / apartment 0.028663 -15371 -367 -3071.0 -4211 0.0 1 1 1 1 1 0 NaN 2.0 2 2 SUNDAY 11 0 0 0 0 1 1 Business Entity Type 3 NaN 0.334300 NaN 0.0 0.0 0.0 0.0 -40.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 2.0
99 100118 0 Cash loans F N Y 0 90000.000 675000.0 26541.0 675000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.026392 -22471 365243 -217.0 -4323 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 15 0 0 0 0 0 0 XNA NaN 0.626303 NaN 3.0 2.0 3.0 1.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
105 100124 0 Cash loans M N Y 0 225000.000 448272.0 28647.0 396000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.072508 -24051 365243 -7040.0 -4053 0.0 1 0 0 1 1 1 NaN 1.0 1 1 WEDNESDAY 17 0 0 0 0 0 0 XNA NaN 0.710318 0.554947 0.0 0.0 0.0 0.0 -1080.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 8.0
106 100125 0 Cash loans F N N 0 126000.000 263686.5 26208.0 238500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.009549 -21613 365243 -2376.0 -2434 0.0 1 0 0 1 1 0 NaN 2.0 2 2 MONDAY 11 0 0 0 0 0 0 XNA NaN 0.571331 0.554947 0.0 0.0 0.0 0.0 -1165.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
107 100126 0 Revolving loans M N Y 2 135000.000 180000.0 9000.0 180000.0 Family Working Secondary / secondary special Married House / apartment 0.046220 -12900 -782 -2124.0 -3888 0.0 1 1 1 1 0 0 NaN 4.0 1 1 FRIDAY 21 0 0 0 0 1 1 Transport: type 4 NaN 0.705093 0.574447 1.0 1.0 1.0 1.0 -1091.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
108 100127 0 Cash loans M N Y 0 112500.000 52128.0 5341.5 45000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.024610 -21341 365243 -10150.0 -1403 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 7 0 0 0 0 0 0 XNA NaN 0.687003 NaN 0.0 0.0 0.0 0.0 -2279.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
109 100129 0 Revolving loans F Y Y 1 85500.000 135000.0 6750.0 135000.0 Unaccompanied Working Higher education Married House / apartment 0.018029 -9415 -225 -4066.0 -2104 5.0 1 1 0 0 0 0 NaN 3.0 3 2 MONDAY 8 0 0 0 0 0 0 Business Entity Type 1 0.479544 0.610207 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1.0 0.0 0.0 0.0 0.0 0.0
117 100137 0 Cash loans F Y Y 0 225000.000 891072.0 45625.5 720000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.020246 -20284 365243 -1990.0 -2556 2.0 1 0 0 1 0 0 NaN 2.0 3 3 FRIDAY 8 0 0 0 0 0 0 XNA 0.886487 0.086719 NaN 12.0 0.0 12.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
118 100138 0 Cash loans M Y N 0 135000.000 824823.0 29223.0 688500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.046220 -14339 365243 -1104.0 -4620 5.0 1 0 0 1 0 0 NaN 2.0 1 1 TUESDAY 14 0 0 0 0 0 0 XNA 0.667496 0.607562 0.572683 0.0 0.0 0.0 0.0 -242.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
119 100139 0 Cash loans F N N 1 157500.000 302341.5 24016.5 261000.0 Family Working Secondary / secondary special Married House / apartment 0.010276 -13286 -2305 -6685.0 -4955 0.0 1 1 0 1 0 1 NaN 3.0 2 2 WEDNESDAY 10 0 0 0 1 1 0 Business Entity Type 3 0.567775 0.601408 0.096319 6.0 0.0 6.0 0.0 -1868.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 0.0 3.0
125 100146 0 Cash loans M Y Y 0 117000.000 327024.0 12456.0 270000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.007330 -22959 365243 -1730.0 -4047 13.0 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA NaN 0.282326 0.755740 2.0 0.0 2.0 0.0 -909.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
135 100157 0 Cash loans M N Y 0 180000.000 1755000.0 61132.5 1755000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.014520 -16086 -1549 -3174.0 -4584 0.0 1 1 0 1 0 0 NaN 2.0 2 2 MONDAY 7 0 0 0 0 0 0 Business Entity Type 3 0.867872 0.147685 0.669057 3.0 0.0 3.0 0.0 0.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 2.0
140 100162 0 Cash loans F N Y 0 112500.000 547344.0 18216.0 472500.0 Family Pensioner Secondary / secondary special Single / not married House / apartment 0.020246 -21061 365243 -5439.0 -4488 0.0 1 0 0 1 0 0 NaN 1.0 3 3 MONDAY 6 0 0 0 0 0 0 XNA 0.593567 0.598243 0.232725 1.0 1.0 1.0 1.0 -1594.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
141 100163 0 Cash loans F N Y 0 130500.000 550489.5 19773.0 454500.0 Unaccompanied Working Higher education Separated House / apartment 0.018209 -19718 -5717 -8940.0 -3200 0.0 1 1 1 1 1 0 NaN 1.0 3 3 FRIDAY 11 0 0 0 0 0 0 Other 0.656938 0.390993 0.095070 5.0 0.0 5.0 0.0 -1691.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
143 100165 0 Cash loans F Y Y 0 175500.000 1293502.5 35568.0 1129500.0 Family Pensioner Secondary / secondary special Married House / apartment 0.018850 -21961 365243 -8887.0 -4379 9.0 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 16 0 0 0 0 0 0 XNA 0.531106 0.646689 0.812823 0.0 0.0 0.0 0.0 -396.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
145 100167 0 Cash loans F N Y 0 180000.000 427500.0 46170.0 427500.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.026392 -15127 -1039 -4221.0 -652 0.0 1 1 0 1 1 0 NaN 2.0 2 2 FRIDAY 16 0 0 0 0 1 1 Hotel NaN 0.551308 0.161463 0.0 0.0 0.0 0.0 -1914.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
148 100175 0 Cash loans F N Y 1 202500.000 1251072.0 45067.5 1080000.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.010147 -16296 -266 -164.0 -4568 0.0 1 1 0 1 0 0 NaN 3.0 2 2 TUESDAY 19 0 0 0 0 0 0 Industry: type 7 0.580367 0.763649 0.329655 0.0 0.0 0.0 0.0 -1683.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
150 100177 0 Cash loans M N N 1 112500.000 312682.5 33309.0 297000.0 Family Working Secondary / secondary special Civil marriage House / apartment 0.010643 -14311 -334 -8401.0 -4248 0.0 1 1 1 1 0 0 NaN 3.0 2 2 THURSDAY 10 0 1 1 0 1 1 Self-employed 0.319357 0.603655 0.595456 0.0 0.0 0.0 0.0 -328.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
151 100178 0 Cash loans F N Y 0 119250.000 679500.0 28917.0 679500.0 Unaccompanied Working Higher education Separated House / apartment 0.008866 -19286 -1485 -7887.0 -2835 0.0 1 1 1 1 1 0 NaN 1.0 2 2 MONDAY 13 0 0 0 0 0 0 Self-employed 0.723371 0.765125 0.417100 0.0 0.0 0.0 0.0 -2085.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
156 100183 0 Cash loans F N Y 0 103500.000 239850.0 23494.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.018634 -24729 365243 -4047.0 -4523 0.0 1 0 0 1 1 0 NaN 1.0 2 2 THURSDAY 12 0 0 0 0 0 0 XNA NaN 0.600433 0.795803 0.0 0.0 0.0 0.0 -1183.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
157 100185 0 Cash loans M N Y 0 58500.000 187704.0 10903.5 148500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.018029 -20215 365243 -3508.0 -3558 0.0 1 0 0 1 0 0 NaN 2.0 3 2 SATURDAY 7 0 0 0 0 0 0 XNA NaN 0.557348 0.771362 1.0 0.0 1.0 0.0 -1792.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
158 100186 0 Cash loans F N Y 0 117000.000 269550.0 13095.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.007020 -21861 365243 -830.0 -4830 0.0 1 0 0 1 1 0 NaN 1.0 2 2 TUESDAY 12 0 0 0 0 0 0 XNA NaN 0.641304 0.519097 4.0 0.0 4.0 0.0 -2025.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
164 100193 0 Cash loans F Y N 0 225000.000 296280.0 15124.5 225000.0 Unaccompanied Commercial associate Secondary / secondary special Separated House / apartment 0.020246 -17879 -940 -2294.0 -1441 15.0 1 1 1 1 0 0 NaN 1.0 3 3 SUNDAY 15 0 0 0 0 0 0 Other 0.731105 0.748854 0.508287 1.0 0.0 1.0 0.0 -2553.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 6.0
166 100195 0 Cash loans M Y Y 0 90000.000 336150.0 9373.5 202500.0 Unaccompanied Commercial associate Higher education Single / not married House / apartment 0.030755 -10887 -341 -5333.0 -2828 8.0 1 1 0 1 0 0 NaN 1.0 2 2 FRIDAY 12 0 0 0 0 1 1 Trade: type 3 0.356355 0.547773 0.749022 0.0 0.0 0.0 0.0 -114.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
171 100200 0 Cash loans F N N 0 216000.000 450000.0 27193.5 450000.0 Unaccompanied Working Secondary / secondary special Widow House / apartment 0.026392 -16891 -2730 -7519.0 -434 0.0 1 1 1 1 1 0 NaN 1.0 2 2 MONDAY 10 0 0 0 0 0 0 Business Entity Type 3 NaN 0.640041 0.694093 4.0 0.0 3.0 0.0 -332.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
173 100202 0 Cash loans F N N 0 67500.000 127350.0 6597.0 112500.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.019101 -22994 365243 -9705.0 -4078 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 12 0 0 0 0 0 0 XNA NaN 0.121906 0.269286 2.0 0.0 2.0 0.0 -632.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 5.0
174 100203 0 Cash loans F N N 0 54000.000 119925.0 11097.0 112500.0 Other_B Pensioner Secondary / secondary special Widow House / apartment 0.010276 -25104 365243 -4182.0 -4210 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 9 0 0 0 0 0 0 XNA NaN 0.640514 0.544235 0.0 0.0 0.0 0.0 -2.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
175 100204 0 Cash loans F N Y 1 81000.000 532494.0 30699.0 454500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.009334 -19525 365243 -5077.0 -1589 0.0 1 0 0 1 1 0 NaN 3.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA NaN 0.171535 0.540654 0.0 0.0 0.0 0.0 -7.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0
184 100214 1 Cash loans F N Y 1 202500.000 436032.0 28516.5 360000.0 Unaccompanied Commercial associate Higher education Civil marriage House / apartment 0.032561 -10127 -111 -1724.0 -337 0.0 1 1 0 1 1 0 NaN 3.0 1 1 WEDNESDAY 14 0 0 0 0 0 0 Business Entity Type 3 NaN 0.500231 NaN 0.0 0.0 0.0 0.0 -130.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
185 100215 0 Cash loans F Y N 0 90000.000 227520.0 8172.0 180000.0 Unaccompanied Pensioner Secondary / secondary special Civil marriage House / apartment 0.025164 -21703 365243 -9849.0 -4980 11.0 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 13 0 0 0 0 0 0 XNA NaN 0.265312 0.641368 0.0 0.0 0.0 0.0 -2028.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 5.0 0.0 5.0
191 100221 0 Cash loans F N Y 0 225000.000 684054.0 77494.5 630000.0 Unaccompanied Commercial associate Secondary / secondary special Widow House / apartment 0.006629 -23656 -11883 -7125.0 -4681 0.0 1 1 0 1 1 0 NaN 1.0 2 2 TUESDAY 9 0 0 0 0 0 0 Bank NaN 0.592459 0.736623 0.0 0.0 0.0 0.0 -584.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 4.0
192 100224 0 Cash loans F Y Y 2 225000.000 1256400.0 36864.0 900000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.019689 -14091 -5664 -8127.0 -2462 7.0 1 1 0 1 0 0 NaN 4.0 2 2 TUESDAY 9 0 0 0 0 0 0 Business Entity Type 3 NaN 0.598632 0.344155 4.0 2.0 4.0 2.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
200 100233 0 Cash loans F N Y 0 216000.000 679671.0 28926.0 607500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010966 -18341 -701 -9730.0 -1876 0.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Transport: type 4 NaN 0.201584 0.609276 1.0 1.0 1.0 0.0 -2071.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 8.0
213 100248 0 Cash loans F N Y 0 90000.000 808650.0 23643.0 675000.0 Unaccompanied Pensioner Secondary / secondary special Civil marriage House / apartment 0.007305 -22389 365243 -12314.0 -4884 0.0 1 0 0 1 0 0 NaN 2.0 3 3 WEDNESDAY 12 0 0 0 0 0 0 XNA NaN 0.223495 0.456110 1.0 0.0 1.0 0.0 -1386.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
220 100257 0 Cash loans F N Y 0 90000.000 312768.0 16119.0 270000.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.018634 -23090 365243 -7062.0 -2979 0.0 1 0 0 1 1 0 NaN 1.0 2 2 TUESDAY 10 0 0 0 0 0 0 XNA NaN 0.518701 0.730987 3.0 1.0 3.0 1.0 -2568.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
222 100259 0 Cash loans M Y Y 0 180000.000 427500.0 21955.5 427500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.018209 -20672 365243 -3315.0 -3299 25.0 1 0 0 1 0 0 NaN 2.0 3 3 FRIDAY 8 0 0 0 0 0 0 XNA NaN 0.379162 0.379100 2.0 0.0 2.0 0.0 -1838.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
226 100263 0 Cash loans F N Y 0 108000.000 585000.0 32665.5 585000.0 Family Pensioner Higher education Widow House / apartment 0.009549 -23456 365243 -2267.0 -4483 0.0 1 0 0 1 1 0 NaN 1.0 2 2 THURSDAY 17 0 0 0 0 0 0 XNA 0.770814 0.235314 0.270707 0.0 0.0 0.0 0.0 -2255.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
227 100264 0 Cash loans F N Y 0 121500.000 1215000.0 48186.0 1215000.0 Unaccompanied Pensioner Higher education Married House / apartment 0.018209 -23037 365243 -2017.0 -4082 0.0 1 0 0 1 0 0 NaN 2.0 3 3 SATURDAY 7 0 0 0 0 0 0 XNA NaN 0.305150 0.695622 0.0 0.0 0.0 0.0 -2435.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
229 100266 0 Cash loans F N N 0 157500.000 1256400.0 36864.0 900000.0 Unaccompanied Commercial associate Secondary / secondary special Widow Municipal apartment 0.032561 -18810 -995 -9761.0 -2290 0.0 1 1 0 1 0 0 NaN 1.0 1 1 FRIDAY 17 0 0 0 0 0 0 Business Entity Type 3 NaN 0.695817 0.713631 2.0 1.0 2.0 1.0 -1388.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
233 100270 0 Revolving loans F N Y 0 90000.000 337500.0 16875.0 337500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.032561 -21497 365243 -14502.0 -4288 0.0 1 0 0 1 1 0 NaN 2.0 1 1 TUESDAY 16 0 0 0 0 0 0 XNA NaN 0.714056 0.750375 0.0 0.0 0.0 0.0 -2124.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
237 100275 0 Cash loans F Y Y 0 108000.000 646920.0 18670.5 540000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.019101 -23650 365243 -11380.0 -4923 64.0 1 0 0 1 0 0 NaN 1.0 2 2 SUNDAY 13 0 0 0 0 0 0 XNA NaN 0.731907 0.720944 0.0 0.0 0.0 0.0 -1563.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
239 100277 0 Cash loans M Y N 0 67500.000 364896.0 16200.0 315000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.006008 -21812 365243 -12539.0 -5030 13.0 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 19 0 0 0 0 0 0 XNA 0.856740 0.574514 NaN 1.0 0.0 1.0 0.0 -318.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
240 100279 0 Cash loans M N Y 0 180000.000 254700.0 16407.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.072508 -23946 365243 -6935.0 -3948 0.0 1 0 0 1 0 0 NaN 1.0 1 1 WEDNESDAY 16 0 0 0 0 0 0 XNA NaN 0.458685 0.528093 0.0 0.0 0.0 0.0 -975.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 5.0
247 100287 0 Cash loans F N Y 0 202500.000 225000.0 22383.0 225000.0 Family Pensioner Higher education Married House / apartment 0.026392 -24891 365243 -2120.0 -2019 0.0 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 15 0 0 0 0 0 0 XNA NaN 0.655530 NaN 5.0 0.0 5.0 0.0 -648.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
252 100292 0 Cash loans F N Y 0 202500.000 675000.0 29862.0 675000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.028663 -21185 365243 -1702.0 -4229 0.0 1 0 0 1 0 1 NaN 2.0 2 2 WEDNESDAY 11 0 0 0 0 0 0 XNA NaN 0.065452 0.549597 3.0 2.0 3.0 1.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
263 100303 0 Cash loans F N Y 0 292500.000 254700.0 15709.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.016612 -24006 365243 -2239.0 -4447 0.0 1 0 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 XNA NaN 0.282490 0.410103 1.0 0.0 1.0 0.0 -609.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0
264 100304 0 Revolving loans F N Y 0 225000.000 675000.0 33750.0 675000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.008019 -22794 -15632 -7959.0 -4311 0.0 1 1 0 1 1 0 NaN 1.0 2 2 TUESDAY 13 0 0 0 0 0 0 Business Entity Type 3 NaN 0.654943 0.795803 0.0 0.0 0.0 0.0 -1121.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
269 100310 0 Cash loans M N N 0 180000.000 1071000.0 31315.5 1071000.0 Unaccompanied Working Higher education Married Rented apartment 0.018029 -14659 -1228 -688.0 -1107 0.0 1 1 1 1 0 0 NaN 2.0 3 3 WEDNESDAY 13 0 0 0 1 1 1 Business Entity Type 3 NaN 0.160158 0.438281 0.0 0.0 0.0 0.0 -89.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 2.0
270 100313 0 Cash loans F N Y 0 87750.000 1206954.0 35419.5 945000.0 Unaccompanied Pensioner Higher education Married House / apartment 0.019101 -22510 365243 -6983.0 -4765 0.0 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 10 0 0 0 0 0 0 XNA NaN 0.707841 0.664248 0.0 0.0 0.0 0.0 -2379.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
276 100319 0 Cash loans F N Y 1 135000.000 781920.0 32868.0 675000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.022625 -11631 -782 -7868.0 -2992 0.0 1 1 1 1 1 0 NaN 3.0 2 2 THURSDAY 8 0 0 0 0 0 0 Business Entity Type 3 0.653368 0.565290 0.495666 0.0 0.0 0.0 0.0 -2028.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
278 100321 0 Cash loans M Y N 1 270000.000 521280.0 31500.0 450000.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.019689 -13534 -1420 -1602.0 -4133 1.0 1 1 0 1 0 0 NaN 3.0 2 2 MONDAY 9 0 0 0 0 1 1 Business Entity Type 3 NaN 0.633608 0.210350 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
283 100326 1 Cash loans M Y Y 0 36000.000 284400.0 10849.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Civil marriage House / apartment 0.018209 -22078 365243 -6748.0 -4542 27.0 1 0 0 1 1 0 NaN 2.0 3 3 MONDAY 7 0 0 0 0 0 0 XNA NaN 0.063455 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
284 100327 0 Cash loans M Y Y 0 180000.000 407727.0 32341.5 333000.0 Family Working Secondary / secondary special Married House / apartment 0.020713 -20317 -2334 -10946.0 -3680 3.0 1 1 0 1 0 0 NaN 2.0 3 3 TUESDAY 11 0 0 0 0 1 1 Business Entity Type 3 NaN 0.395245 NaN 0.0 0.0 0.0 0.0 -1858.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 9.0
286 100329 0 Cash loans F Y Y 0 135000.000 247275.0 17716.5 225000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.006852 -19997 -645 -2391.0 -3399 19.0 1 1 1 1 1 0 NaN 2.0 3 3 FRIDAY 8 0 1 1 0 1 1 Business Entity Type 3 NaN 0.081311 0.629674 1.0 0.0 1.0 0.0 -1477.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
287 100332 0 Cash loans F N Y 0 157500.000 545040.0 20677.5 450000.0 Family Pensioner Secondary / secondary special Widow House / apartment 0.031329 -23444 365243 -14604.0 -4655 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 13 0 0 0 0 0 0 XNA NaN 0.119843 0.331251 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
290 100335 0 Cash loans F N Y 0 63000.000 675000.0 19737.0 675000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.035792 -23420 365243 -14293.0 -4749 0.0 1 0 0 1 1 0 NaN 1.0 2 2 MONDAY 8 0 0 0 0 0 0 XNA NaN 0.703773 0.735221 0.0 0.0 0.0 0.0 -1331.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
302 100347 0 Cash loans F N N 0 81000.000 640080.0 23121.0 450000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.018801 -21419 365243 -13511.0 -4287 0.0 1 0 0 1 0 0 NaN 2.0 2 2 SATURDAY 7 0 0 0 0 0 0 XNA NaN 0.531341 0.713631 0.0 0.0 0.0 0.0 -494.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
303 100348 0 Cash loans F N N 0 135000.000 1223010.0 47983.5 1125000.0 Unaccompanied Working Incomplete higher Married House / apartment 0.032561 -10390 -370 -8697.0 -1864 0.0 1 1 0 1 0 0 NaN 2.0 1 1 FRIDAY 15 0 0 0 0 0 0 Business Entity Type 3 NaN 0.598658 0.672243 0.0 0.0 0.0 0.0 -6.0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
304 100349 0 Cash loans F N N 0 108000.000 364896.0 23449.5 315000.0 Unaccompanied Pensioner Secondary / secondary special Widow Municipal apartment 0.009334 -23338 365243 -11761.0 -4820 0.0 1 0 0 1 1 0 NaN 1.0 2 2 FRIDAY 14 0 0 0 0 0 0 XNA NaN 0.672712 0.297087 0.0 0.0 0.0 0.0 -669.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
305 100350 0 Cash loans F N Y 0 112500.000 481495.5 31833.0 454500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.010500 -22759 365243 -124.0 -2596 0.0 1 0 0 1 1 0 NaN 2.0 3 3 MONDAY 12 0 0 0 0 0 0 XNA NaN 0.501308 0.600658 0.0 0.0 0.0 0.0 -1711.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
306 100351 0 Cash loans F N N 0 69750.000 675000.0 20596.5 675000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.014520 -22606 365243 -930.0 -4475 0.0 1 0 0 1 0 0 NaN 2.0 2 2 TUESDAY 12 0 0 0 0 0 0 XNA NaN 0.666442 0.456110 2.0 0.0 2.0 0.0 -957.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
309 100355 0 Cash loans M N Y 0 315000.000 946503.0 42898.5 846000.0 Unaccompanied Working Secondary / secondary special Married With parents 0.003813 -9178 -633 -4829.0 -1622 0.0 1 1 0 1 0 0 NaN 2.0 2 2 MONDAY 10 0 1 1 0 1 1 Business Entity Type 2 NaN 0.184220 NaN 0.0 0.0 0.0 0.0 -223.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
313 100360 0 Revolving loans F N N 0 67500.000 202500.0 10125.0 202500.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.025164 -19676 -4483 -5545.0 -3236 0.0 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 8 0 0 0 0 0 0 Housing 0.861626 0.756108 NaN 0.0 0.0 0.0 0.0 -1232.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 0.0 2.0
318 100365 0 Cash loans F N Y 0 247500.000 517788.0 19647.0 427500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.010032 -20435 365243 -2565.0 -3916 0.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 4 0 0 0 0 0 0 XNA NaN 0.669967 0.263647 0.0 0.0 0.0 0.0 -358.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 4.0
320 100368 0 Cash loans F N Y 0 166500.000 675000.0 24246.0 675000.0 Family Working Secondary / secondary special Married House / apartment 0.035792 -11285 -3473 -1929.0 -3094 0.0 1 1 1 1 1 0 NaN 2.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.393172 0.689565 0.431192 4.0 0.0 4.0 0.0 -398.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
322 100370 0 Cash loans F N Y 0 45000.000 448056.0 16222.5 315000.0 Children Pensioner Secondary / secondary special Married House / apartment 0.028663 -23195 365243 -9513.0 -4535 0.0 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 12 0 0 0 0 0 0 XNA NaN 0.176041 0.595456 8.0 2.0 7.0 0.0 -1088.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 4.0
324 100372 0 Cash loans F N N 0 90000.000 531000.0 29781.0 531000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.015221 -21909 365243 -2319.0 -4279 0.0 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 11 0 0 0 0 0 0 XNA NaN 0.673737 0.465069 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
327 100375 0 Cash loans M N Y 0 180000.000 942300.0 30528.0 675000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.006305 -21552 -2672 -13057.0 -4188 0.0 1 1 0 1 1 0 NaN 2.0 3 3 WEDNESDAY 7 0 0 0 0 0 0 Transport: type 1 NaN 0.291624 0.377404 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
333 100381 0 Cash loans F N N 0 121500.000 302544.0 11533.5 198000.0 Unaccompanied Commercial associate Higher education Single / not married With parents 0.018029 -11223 -107 -5619.0 -3755 0.0 1 1 0 1 0 0 NaN 1.0 3 3 SATURDAY 8 0 1 1 0 0 0 Business Entity Type 3 NaN 0.731130 NaN 3.0 0.0 3.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
342 100394 0 Cash loans M N Y 0 112500.000 178290.0 11034.0 157500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.035792 -23721 365243 -3367.0 -5013 0.0 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 XNA NaN 0.657464 NaN 8.0 0.0 8.0 0.0 -1779.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
344 100396 1 Cash loans M N N 0 112500.000 417024.0 25330.5 360000.0 Family Pensioner Secondary / secondary special Single / not married House / apartment 0.025164 -13707 365243 -7809.0 -4436 0.0 1 0 0 1 0 0 NaN 1.0 2 2 SATURDAY 10 0 0 0 0 0 0 XNA NaN 0.293988 0.115387 0.0 0.0 0.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
347 100400 0 Cash loans F N N 0 270000.000 536917.5 28467.0 463500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.020246 -23187 365243 -13629.0 -4573 0.0 1 0 0 1 0 0 NaN 2.0 3 3 THURSDAY 11 0 0 0 0 0 0 XNA NaN 0.442295 0.802745 0.0 0.0 0.0 0.0 -1553.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
348 100401 1 Cash loans F N Y 0 202500.000 343683.0 16663.5 261000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.010966 -20200 365243 -973.0 -2779 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 10 0 0 0 0 0 0 XNA NaN 0.622575 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
349 100402 0 Cash loans F N Y 0 81000.000 276277.5 21825.0 238500.0 Unaccompanied Pensioner Secondary / secondary special Single / not married Municipal apartment 0.005144 -19780 365243 -11248.0 -3331 0.0 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 15 0 0 0 0 0 0 XNA NaN NaN NaN 1.0 0.0 1.0 0.0 -275.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
352 100406 0 Cash loans F N Y 0 135000.000 468648.0 34101.0 414000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.010006 -20846 365243 -774.0 -4153 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 8 0 0 0 0 0 0 XNA NaN 0.160741 0.713631 6.0 0.0 6.0 0.0 -164.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
359 100413 0 Cash loans M N Y 0 90000.000 90000.0 9351.0 90000.0 Spouse, partner Pensioner Secondary / secondary special Married House / apartment 0.019101 -22768 365243 -4730.0 -5252 0.0 1 0 0 1 0 0 NaN 2.0 2 2 SATURDAY 12 0 0 0 0 0 0 XNA NaN 0.651336 NaN 5.0 0.0 5.0 0.0 -344.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
364 100419 0 Cash loans F N Y 0 112500.000 454500.0 13419.0 454500.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.031329 -20434 365243 -6328.0 -17 0.0 1 0 0 1 1 0 NaN 1.0 2 2 FRIDAY 9 0 0 0 0 0 0 XNA NaN 0.660829 0.384207 1.0 1.0 1.0 1.0 -1662.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
378 100435 0 Cash loans F N Y 0 112500.000 450000.0 16294.5 450000.0 Unaccompanied Commercial associate Secondary / secondary special Separated House / apartment 0.035792 -16462 -4690 -3290.0 -15 0.0 1 1 0 1 0 0 NaN 1.0 2 2 SATURDAY 10 0 0 0 0 1 1 Industry: type 9 NaN 0.661887 0.680139 0.0 0.0 0.0 0.0 -2327.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
380 100437 0 Cash loans F N Y 1 67500.000 817560.0 30951.0 675000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.035792 -21401 365243 -3940.0 -4642 0.0 1 0 0 1 0 0 NaN 3.0 2 2 THURSDAY 13 0 0 0 0 0 0 XNA 0.741783 0.730751 0.636376 0.0 0.0 0.0 0.0 -407.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
382 100440 0 Cash loans F N Y 0 40500.000 127350.0 7438.5 112500.0 Family Pensioner Secondary / secondary special Married House / apartment 0.007330 -23903 365243 -12295.0 -4332 0.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 11 0 0 0 0 0 0 XNA NaN 0.096610 0.785052 0.0 0.0 0.0 0.0 -861.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
383 100441 0 Cash loans F N Y 0 135000.000 269550.0 11416.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Civil marriage House / apartment 0.009549 -20171 365243 -240.0 -3555 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 16 0 0 0 0 0 0 XNA NaN 0.604382 0.669057 0.0 0.0 0.0 0.0 -1488.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0 0.0 0.0 0.0 0.0 6.0
385 100443 0 Cash loans F N Y 0 144000.000 456273.0 23296.5 346500.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.010147 -23054 365243 -3975.0 -4748 0.0 1 0 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 XNA NaN 0.427934 0.651260 1.0 1.0 1.0 1.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
389 100452 1 Cash loans M N Y 1 171000.000 1009566.0 36391.5 904500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.025164 -18767 -2046 -6555.0 -2317 0.0 1 1 1 1 0 0 NaN 3.0 2 2 FRIDAY 8 0 0 0 0 0 0 Business Entity Type 3 NaN 0.266520 NaN 0.0 0.0 0.0 0.0 -1144.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
390 100453 0 Cash loans M Y N 2 247500.000 521280.0 27423.0 450000.0 Unaccompanied Working Higher education Married House / apartment 0.008866 -12191 -3298 -1371.0 -3948 6.0 1 1 0 1 0 0 NaN 4.0 2 2 TUESDAY 17 0 0 0 0 1 1 Business Entity Type 3 NaN 0.636496 0.681706 0.0 0.0 0.0 0.0 -1754.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
395 100458 0 Cash loans F N N 0 90000.000 808650.0 26217.0 675000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.020713 -20646 365243 -12781.0 -3849 0.0 1 0 0 1 0 0 NaN 2.0 3 3 THURSDAY 8 0 0 0 0 0 0 XNA 0.575941 0.552811 0.662638 0.0 0.0 0.0 0.0 -238.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
397 100460 0 Revolving loans F N N 0 315000.000 540000.0 27000.0 540000.0 Unaccompanied Commercial associate Higher education Single / not married Rented apartment 0.014464 -9842 -157 -2291.0 -2291 0.0 1 1 0 1 0 0 NaN 1.0 2 2 FRIDAY 13 0 1 1 0 0 0 Business Entity Type 3 0.439873 0.349457 0.633032 NaN NaN NaN NaN -404.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
400 100463 0 Cash loans F N N 0 112500.000 263686.5 15268.5 238500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.004960 -14402 365243 -4217.0 -2403 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 17 0 0 0 0 0 0 XNA NaN 0.649103 0.700184 2.0 0.0 2.0 0.0 -1347.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
404 100468 0 Cash loans F Y N 0 112500.000 900000.0 23872.5 900000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.010006 -18287 365243 -229.0 -1454 2.0 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 8 0 0 0 0 0 0 XNA NaN 0.243041 NaN 3.0 2.0 3.0 0.0 -6.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
406 100470 0 Cash loans F Y Y 0 225000.000 1345500.0 39469.5 1345500.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.026392 -15601 -3880 -9642.0 -2242 0.0 1 1 0 1 0 0 NaN 2.0 2 2 SATURDAY 14 0 0 0 0 0 0 Business Entity Type 2 NaN 0.619853 0.657784 3.0 0.0 2.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 0.0
420 100486 0 Cash loans F N Y 0 58500.000 172021.5 12991.5 148500.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.015221 -23794 365243 -9471.0 -4250 0.0 1 0 0 1 1 0 NaN 1.0 2 2 TUESDAY 9 0 0 0 0 0 0 XNA NaN 0.448734 0.651260 5.0 1.0 5.0 0.0 -1419.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
421 100487 0 Cash loans M Y N 0 121500.000 630747.0 22783.5 544500.0 Family Pensioner Secondary / secondary special Married House / apartment 0.016612 -16476 365243 -4646.0 -32 1.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 13 0 0 0 0 0 0 XNA NaN 0.343412 NaN 0.0 0.0 0.0 0.0 -572.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
427 100493 0 Cash loans F Y Y 0 270000.000 1288350.0 41692.5 1125000.0 Unaccompanied Working Higher education Married House / apartment 0.035792 -18651 -2593 -5769.0 -2207 16.0 1 1 0 1 1 0 NaN 2.0 2 2 THURSDAY 11 0 0 0 0 0 0 Self-employed NaN 0.692166 0.349055 4.0 0.0 4.0 0.0 -2814.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 2.0
428 100495 0 Cash loans F Y N 1 112500.000 832500.0 29623.5 832500.0 Children Working Secondary / secondary special Married House / apartment 0.006305 -13494 -2298 -1138.0 -577 13.0 1 1 0 1 0 0 NaN 3.0 3 3 TUESDAY 10 0 0 0 0 0 0 Medicine NaN 0.536266 0.782608 4.0 2.0 4.0 2.0 -395.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
431 100498 0 Cash loans M N Y 0 112500.000 485190.0 24903.0 405000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.020713 -16468 -1544 -5023.0 -21 0.0 1 1 0 1 0 0 NaN 2.0 3 3 WEDNESDAY 6 0 0 0 0 0 0 Business Entity Type 3 NaN 0.361334 0.275000 0.0 0.0 0.0 0.0 -1388.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
432 100499 0 Cash loans F Y Y 0 225000.000 678996.0 36963.0 540000.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.010032 -13229 -1210 -7237.0 -4662 17.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Business Entity Type 3 NaN 0.589716 0.786267 4.0 0.0 4.0 0.0 -840.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
436 100503 0 Cash loans F N Y 0 189000.000 876019.5 34870.5 783000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.009175 -22524 365243 -8604.0 -5021 0.0 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 13 0 0 0 0 0 0 XNA NaN 0.618440 0.329655 0.0 0.0 0.0 0.0 -287.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 6.0
439 100506 0 Cash loans M Y Y 0 112500.000 345645.0 16240.5 243000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.006305 -14671 -1977 -7984.0 -4376 20.0 1 1 0 1 0 0 NaN 2.0 3 3 SATURDAY 4 0 0 0 0 1 1 Business Entity Type 3 NaN 0.545150 NaN 0.0 0.0 0.0 0.0 -613.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
442 100509 0 Cash loans F N Y 0 90000.000 339241.5 12312.0 238500.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.035792 -21987 365243 -8482.0 -4704 0.0 1 0 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA NaN 0.694500 0.652897 0.0 0.0 0.0 0.0 -1723.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 2.0
444 100513 0 Cash loans F N Y 0 180000.000 848745.0 36090.0 675000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.035792 -18344 -7364 -3255.0 -1891 0.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 17 0 0 0 1 1 0 Business Entity Type 3 0.750608 0.625079 NaN 6.0 0.0 6.0 0.0 -586.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
445 100514 0 Cash loans M N Y 0 270000.000 265306.5 28701.0 252000.0 Unaccompanied Pensioner Higher education Married House / apartment 0.018029 -15187 365243 -1856.0 -4116 0.0 1 0 0 1 0 0 NaN 2.0 3 3 FRIDAY 10 0 0 0 0 0 0 XNA 0.296512 0.597712 0.461482 1.0 0.0 1.0 0.0 -1534.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
447 100516 0 Cash loans F N N 0 157500.000 117000.0 11700.0 117000.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.028663 -20792 365243 -4205.0 -4203 0.0 1 0 0 1 1 0 NaN 1.0 2 2 THURSDAY 9 0 0 0 0 0 0 XNA NaN 0.674395 0.798137 10.0 0.0 10.0 0.0 -1533.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 3.0 2.0
448 100518 0 Revolving loans F N Y 0 117000.000 202500.0 10125.0 202500.0 Family Pensioner Secondary / secondary special Widow House / apartment 0.007330 -22681 365243 -13564.0 -4046 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 11 0 0 0 0 0 0 XNA NaN 0.580362 NaN 1.0 0.0 0.0 0.0 -1339.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
449 100519 0 Cash loans F N N 0 112500.000 625536.0 27684.0 540000.0 Unaccompanied Pensioner Secondary / secondary special Widow Municipal apartment 0.007114 -19031 365243 -7369.0 -2569 0.0 1 0 0 1 1 0 NaN 1.0 2 2 TUESDAY 15 0 0 0 0 0 0 XNA NaN 0.273554 0.533482 0.0 0.0 0.0 0.0 -1581.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
451 100521 0 Revolving loans F N N 0 157500.000 225000.0 11250.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.008474 -20523 365243 -8472.0 -4043 0.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 13 0 0 0 0 0 0 XNA 0.713867 0.543957 0.126101 0.0 0.0 0.0 0.0 -207.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 3.0 0.0 2.0
452 100522 0 Cash loans F Y Y 1 180000.000 343683.0 20898.0 261000.0 Children Working Secondary / secondary special Married House / apartment 0.018801 -10933 -2309 -4757.0 -1777 1.0 1 1 0 1 0 0 NaN 3.0 2 2 TUESDAY 12 0 0 0 0 0 0 Business Entity Type 3 NaN 0.533186 0.385915 2.0 0.0 2.0 0.0 -150.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
454 100524 0 Cash loans M N Y 0 112500.000 284400.0 20740.5 225000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.006207 -10936 -3186 -173.0 -3568 0.0 1 1 0 1 0 0 NaN 2.0 2 2 TUESDAY 9 0 0 0 0 0 0 Business Entity Type 3 NaN 0.682145 NaN 1.0 1.0 1.0 1.0 -516.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
458 100528 0 Cash loans F N Y 1 90000.000 675000.0 19867.5 675000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.020246 -14608 -4624 -514.0 -6085 0.0 1 1 0 1 0 0 NaN 3.0 3 3 FRIDAY 6 0 0 0 0 1 1 Medicine NaN 0.527756 0.572683 1.0 0.0 1.0 0.0 -1218.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 4.0
473 100543 0 Cash loans F N Y 0 157500.000 225000.0 26703.0 225000.0 Family Pensioner Secondary / secondary special Separated House / apartment 0.016612 -20173 365243 -9054.0 -3717 0.0 1 0 0 1 0 1 NaN 1.0 2 2 MONDAY 15 0 0 0 0 0 0 XNA NaN 0.588043 0.283712 0.0 0.0 0.0 0.0 -1227.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
475 100545 0 Cash loans F N Y 0 144000.000 1012500.0 29736.0 1012500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.035792 -19058 -10089 -1320.0 -1153 0.0 1 1 0 1 0 0 NaN 2.0 2 2 TUESDAY 9 0 0 0 0 1 1 Emergency NaN 0.682751 0.556727 0.0 0.0 0.0 0.0 -1516.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
476 100546 0 Cash loans M N Y 0 67500.000 508495.5 21672.0 454500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.031329 -23539 365243 -6397.0 -4677 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 8 0 0 0 0 0 0 XNA NaN 0.162192 0.551381 0.0 0.0 0.0 0.0 -2368.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
482 100556 0 Cash loans F N Y 0 58500.000 50940.0 4959.0 45000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.010500 -22735 365243 -1583.0 -4711 0.0 1 0 0 1 0 0 NaN 1.0 3 3 THURSDAY 10 0 0 0 0 0 0 XNA NaN 0.742158 NaN 0.0 0.0 0.0 0.0 -1086.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
486 100560 0 Cash loans F N N 0 49500.000 225000.0 11488.5 225000.0 Unaccompanied Pensioner Higher education Married Municipal apartment 0.006305 -21157 365243 -8746.0 -4279 0.0 1 0 0 1 0 0 NaN 2.0 3 3 THURSDAY 11 0 0 0 0 0 0 XNA NaN 0.574461 0.252599 0.0 0.0 0.0 0.0 -961.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0 0.0 0.0 0.0 0.0 1.0
490 100565 0 Cash loans F N Y 0 112500.000 518562.0 25078.5 463500.0 Family Pensioner Secondary / secondary special Married House / apartment 0.031329 -20934 365243 -1377.0 -4010 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 10 0 0 0 0 0 0 XNA NaN 0.657316 NaN 0.0 0.0 0.0 0.0 -168.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
495 100572 0 Cash loans F N Y 0 31500.000 314055.0 13437.0 238500.0 Unaccompanied Pensioner Lower secondary Married House / apartment 0.031329 -19110 365243 -9012.0 -2663 0.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 9 0 0 0 0 0 0 XNA NaN 0.468946 0.713631 1.0 0.0 1.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
496 100573 0 Cash loans F Y N 1 157500.000 961146.0 26559.0 688500.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.015221 -13482 -1684 -2152.0 -2226 1.0 1 1 0 1 1 0 NaN 3.0 2 2 WEDNESDAY 13 0 0 0 0 0 0 Kindergarten 0.432729 0.568248 0.401407 4.0 0.0 3.0 0.0 -1478.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
498 100575 0 Cash loans M Y Y 0 108000.000 247275.0 17586.0 225000.0 Unaccompanied Pensioner Higher education Civil marriage House / apartment 0.008230 -22443 365243 -1824.0 -4272 4.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 14 0 0 0 0 0 0 XNA 0.853753 0.533703 0.785052 1.0 0.0 1.0 0.0 -523.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
500 100577 0 Cash loans F N Y 0 171000.000 555273.0 15912.0 463500.0 Family Pensioner Lower secondary Married House / apartment 0.024610 -23169 365243 -17298.0 -4229 0.0 1 0 0 1 1 0 NaN 2.0 2 2 SATURDAY 10 0 0 0 0 0 0 XNA NaN 0.636770 0.651260 0.0 0.0 0.0 0.0 -2059.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 5.0
504 100581 0 Cash loans F N Y 0 270000.000 835380.0 31950.0 675000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.072508 -19484 -3899 -919.0 -2939 0.0 1 1 0 1 0 0 NaN 2.0 1 1 THURSDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.542706 0.695391 0.673830 12.0 1.0 12.0 0.0 -542.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 7.0 0.0 2.0
505 100582 0 Cash loans M N Y 0 135000.000 1546020.0 45328.5 1350000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.025164 -22838 365243 -8499.0 -4559 0.0 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 8 0 0 0 0 0 0 XNA NaN 0.673506 0.609276 0.0 0.0 0.0 0.0 -1322.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
509 100586 0 Cash loans F N Y 0 85500.000 515529.0 21969.0 391500.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.018850 -22291 365243 -13271.0 -4962 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 13 0 0 0 0 0 0 XNA NaN 0.692641 0.313917 0.0 0.0 0.0 0.0 -1817.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 4.0
512 100589 0 Cash loans M N Y 0 103500.000 302076.0 26055.0 270000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.008575 -10053 -1458 -4750.0 -2469 0.0 1 1 1 1 1 0 NaN 1.0 2 2 SUNDAY 11 1 0 1 1 0 1 Business Entity Type 3 0.299562 0.483323 0.763640 0.0 0.0 0.0 0.0 -2009.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 2.0
513 100590 0 Cash loans F Y N 0 225000.000 478498.5 51534.0 454500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.035792 -15923 -1384 -297.0 -3854 15.0 1 1 1 1 0 0 NaN 2.0 2 2 SATURDAY 17 0 0 0 0 0 0 Business Entity Type 3 NaN 0.690627 NaN 0.0 0.0 0.0 0.0 -250.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
518 100597 0 Cash loans F N Y 0 135000.000 734994.0 23841.0 526500.0 Unaccompanied Working Secondary / secondary special Separated House / apartment 0.019101 -18673 -1434 -12450.0 -732 0.0 1 1 0 1 0 0 NaN 1.0 2 2 TUESDAY 16 0 0 0 0 0 0 Industry: type 11 NaN 0.267731 0.673830 1.0 0.0 1.0 0.0 -31.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
524 100604 0 Cash loans F N N 0 180000.000 278460.0 19800.0 225000.0 Unaccompanied Commercial associate Higher education Civil marriage House / apartment 0.072508 -8433 -786 -6654.0 -1109 0.0 1 1 1 1 1 0 NaN 2.0 1 1 SATURDAY 20 0 0 0 0 0 0 Business Entity Type 3 NaN 0.709566 NaN 4.0 0.0 4.0 0.0 -617.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
526 100606 0 Cash loans M Y Y 0 225000.000 593010.0 19260.0 495000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.019101 -20372 365243 -5481.0 -3557 13.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 14 0 0 0 0 0 0 XNA NaN 0.598837 0.602386 0.0 0.0 0.0 0.0 -2391.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
527 100608 0 Cash loans F N N 0 184500.000 654498.0 28957.5 585000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.004960 -20597 365243 -4702.0 -3392 0.0 1 0 0 1 1 0 NaN 2.0 2 2 WEDNESDAY 16 0 0 0 0 0 0 XNA NaN 0.668243 0.150085 0.0 0.0 0.0 0.0 -692.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
535 100619 0 Cash loans F N N 0 99000.000 364896.0 13653.0 315000.0 Unaccompanied Commercial associate Higher education Single / not married House / apartment 0.005084 -11156 -890 -5089.0 -2320 0.0 1 1 1 1 1 0 NaN 1.0 2 2 THURSDAY 10 0 0 0 0 0 0 Self-employed 0.483896 0.579265 0.332851 0.0 0.0 0.0 0.0 -1776.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
539 100624 0 Cash loans M Y Y 0 99000.000 521280.0 22216.5 450000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.006852 -23759 365243 -2753.0 -4022 11.0 1 0 0 1 0 0 NaN 2.0 3 3 SUNDAY 8 0 0 0 0 0 0 XNA NaN 0.333503 0.673830 1.0 1.0 1.0 1.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
545 100631 0 Cash loans F N Y 1 135000.000 913500.0 26838.0 913500.0 Unaccompanied Working Secondary / secondary special Separated House / apartment 0.010643 -17515 -2412 -760.0 -1056 0.0 1 1 0 1 0 0 NaN 2.0 2 2 TUESDAY 15 0 0 0 0 0 0 Self-employed NaN 0.411039 0.798137 0.0 0.0 0.0 0.0 -1435.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
556 100642 0 Cash loans F N Y 0 157500.000 1350000.0 47056.5 1350000.0 Unaccompanied Pensioner Incomplete higher Married House / apartment 0.015221 -21893 365243 -10290.0 -5222 0.0 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 12 0 0 0 0 0 0 XNA 0.468864 0.302583 NaN 0.0 0.0 0.0 0.0 -1425.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
557 100643 0 Cash loans F N Y 0 90000.000 755190.0 29677.5 675000.0 Family Pensioner Higher education Separated House / apartment 0.003069 -23185 365243 -5791.0 -4102 0.0 1 0 0 1 0 0 NaN 1.0 3 3 MONDAY 15 0 0 0 0 0 0 XNA 0.892392 0.587131 0.614414 0.0 0.0 0.0 0.0 -920.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
558 100644 0 Cash loans F Y Y 2 76500.000 119925.0 13045.5 112500.0 Unaccompanied Working Higher education Married House / apartment 0.014464 -12463 -1631 -2688.0 -3524 0.0 1 1 0 1 1 0 NaN 4.0 2 2 THURSDAY 3 0 0 0 0 0 0 Business Entity Type 3 NaN 0.373813 0.643026 1.0 0.0 1.0 0.0 -355.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
561 100647 0 Revolving loans F N Y 0 99000.000 247500.0 12375.0 247500.0 Unaccompanied Working Higher education Married House / apartment 0.025164 -17142 -1051 -1203.0 -672 0.0 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 8 0 0 0 0 0 0 Medicine NaN 0.624146 0.479449 14.0 0.0 14.0 0.0 -733.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 7.0
563 100649 1 Cash loans F N N 2 180000.000 284400.0 13387.5 225000.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.020713 -11653 -4832 -4833.0 -3068 0.0 1 1 0 1 0 0 NaN 4.0 3 3 SUNDAY 14 0 0 0 0 0 0 School NaN 0.023482 NaN 1.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
566 100652 0 Cash loans F Y Y 0 130500.000 995562.0 54684.0 922500.0 Family Pensioner Secondary / secondary special Married House / apartment 0.035792 -22021 365243 -14183.0 -4596 4.0 1 0 0 1 0 0 NaN 2.0 2 2 SATURDAY 11 0 0 0 0 0 0 XNA 0.370796 0.519918 0.672243 0.0 0.0 0.0 0.0 -1196.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0
568 100654 0 Cash loans F N Y 2 135000.000 427500.0 19939.5 427500.0 Unaccompanied Working Higher education Married House / apartment 0.028663 -11767 -3808 -5836.0 -4195 0.0 1 1 1 1 1 0 NaN 4.0 2 2 WEDNESDAY 12 0 0 0 1 0 1 Trade: type 7 0.400441 0.630082 0.225087 0.0 0.0 0.0 0.0 -400.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
570 100656 0 Cash loans F N Y 0 54000.000 312768.0 13378.5 270000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.002042 -20419 365243 -10019.0 -2382 0.0 1 0 0 1 0 0 NaN 2.0 3 3 SATURDAY 11 0 0 0 0 0 0 XNA 0.705845 0.458793 0.665855 0.0 0.0 0.0 0.0 -694.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
571 100657 0 Cash loans F N N 0 135000.000 414792.0 16357.5 315000.0 Unaccompanied Working Lower secondary Married House / apartment 0.011657 -19215 -4556 -7826.0 -2762 0.0 1 1 0 1 0 0 NaN 2.0 1 1 SATURDAY 15 0 0 0 0 0 0 Emergency NaN 0.645634 0.712155 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
580 100666 0 Cash loans M Y Y 0 135000.000 422451.0 19822.5 297000.0 Family Working Secondary / secondary special Single / not married House / apartment 0.020713 -10691 -1590 -119.0 -2151 64.0 1 1 0 1 0 0 NaN 1.0 3 2 FRIDAY 14 0 0 0 0 0 0 Business Entity Type 2 0.207854 0.233434 0.750375 1.0 0.0 1.0 0.0 -1684.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
581 100667 0 Cash loans M N Y 0 45000.000 168102.0 16753.5 148500.0 Family Pensioner Secondary / secondary special Married House / apartment 0.014464 -20113 365243 -8654.0 -3537 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 7 0 0 0 0 0 0 XNA NaN 0.484891 0.643026 0.0 0.0 0.0 0.0 -579.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
582 100668 0 Cash loans F N N 1 144000.000 364896.0 16069.5 315000.0 Unaccompanied Working Higher education Single / not married House / apartment 0.018801 -14731 -6767 -4269.0 -4723 0.0 1 1 1 1 1 0 NaN 2.0 2 2 SATURDAY 15 0 0 0 1 1 0 Business Entity Type 1 0.658407 0.275305 0.147346 0.0 0.0 0.0 0.0 -681.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
583 100669 0 Cash loans M Y N 0 81000.000 670500.0 36504.0 670500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.028663 -22990 365243 -4509.0 -4535 30.0 1 0 0 1 0 0 NaN 2.0 2 2 TUESDAY 13 0 0 0 0 0 0 XNA 0.527931 0.679812 0.511892 5.0 2.0 5.0 1.0 -2082.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0 0.0 0.0 0.0 0.0 0.0
584 100670 0 Cash loans F N Y 0 112500.000 381528.0 14512.5 315000.0 Unaccompanied Working Incomplete higher Married House / apartment 0.030755 -19741 -3723 -1849.0 -3286 0.0 1 1 0 1 0 0 NaN 2.0 2 2 TUESDAY 11 0 0 0 0 0 0 Other NaN 0.634653 0.824595 3.0 0.0 3.0 0.0 -938.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
586 100672 1 Cash loans M N Y 0 112500.000 808650.0 26217.0 675000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.006852 -21107 365243 -8291.0 -4540 0.0 1 0 0 1 0 0 NaN 2.0 3 3 SUNDAY 5 0 0 0 0 0 0 XNA NaN 0.220481 NaN 0.0 0.0 0.0 0.0 -377.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
589 100675 0 Cash loans M Y Y 0 202500.000 1125000.0 33025.5 1125000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.008068 -22503 365243 -442.0 -4974 3.0 1 0 0 1 1 0 NaN 2.0 3 3 TUESDAY 7 0 0 0 0 0 0 XNA NaN 0.492529 NaN 7.0 0.0 7.0 0.0 -391.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 8.0
592 100679 0 Cash loans F N Y 0 72000.000 384048.0 14607.0 270000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.006008 -19968 -6651 -1434.0 -3512 0.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 13 0 0 0 0 1 1 School NaN 0.670972 0.513694 0.0 0.0 0.0 0.0 -463.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
602 100689 0 Cash loans F N Y 0 63000.000 528633.0 23413.5 472500.0 Family Pensioner Secondary / secondary special Widow House / apartment 0.031329 -21752 365243 -9863.0 -4208 0.0 1 0 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA NaN 0.712567 0.747663 1.0 0.0 1.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
608 100695 0 Cash loans F N Y 0 135000.000 1219500.0 35788.5 1219500.0 Family Pensioner Secondary / secondary special Married House / apartment 0.019101 -17426 365243 -6353.0 -972 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 10 0 0 0 0 0 0 XNA NaN 0.644577 0.772631 3.0 0.0 3.0 0.0 -203.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
610 100697 0 Cash loans F N Y 0 225000.000 495985.5 17946.0 409500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.072508 -20648 365243 -4893.0 -3983 0.0 1 0 0 1 1 0 NaN 2.0 1 1 THURSDAY 18 0 0 0 0 0 0 XNA NaN 0.743420 0.793449 0.0 0.0 0.0 0.0 -3242.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
613 100701 0 Cash loans F N Y 0 67500.000 495000.0 19629.0 495000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.018850 -22881 365243 -12403.0 -4045 0.0 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 16 0 0 0 0 0 0 XNA NaN 0.740099 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
614 100703 0 Cash loans F Y Y 0 112500.000 225000.0 21919.5 225000.0 Spouse, partner Pensioner Secondary / secondary special Married House / apartment 0.026392 -25050 365243 -2708.0 -4137 12.0 1 0 0 1 1 0 NaN 2.0 2 2 MONDAY 9 0 0 0 0 0 0 XNA NaN 0.719860 0.394495 0.0 0.0 0.0 0.0 -1501.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0
617 100706 0 Cash loans F N Y 0 180000.000 533668.5 22738.5 477000.0 Unaccompanied Pensioner Secondary / secondary special Single / not married Municipal apartment 0.010500 -22460 365243 -1746.0 -4617 0.0 1 0 0 1 0 0 NaN 1.0 3 3 MONDAY 13 0 0 0 0 0 0 XNA NaN NaN 0.547810 1.0 1.0 1.0 1.0 -364.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
618 100707 0 Cash loans M N Y 3 135000.000 1160973.0 37579.5 909000.0 Unaccompanied Pensioner Higher education Married House / apartment 0.018850 -16960 365243 -4213.0 -452 0.0 1 0 0 1 1 0 NaN 5.0 2 2 TUESDAY 14 0 0 0 0 0 0 XNA 0.661118 0.740721 0.750375 0.0 0.0 0.0 0.0 -1524.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
624 100714 1 Cash loans F N Y 0 99000.000 548770.5 21892.5 490500.0 Family Pensioner Secondary / secondary special Married House / apartment 0.020713 -21818 365243 -12710.0 -511 0.0 1 0 0 1 0 0 NaN 2.0 3 2 SATURDAY 8 0 0 0 0 0 0 XNA NaN 0.481789 0.834784 0.0 0.0 0.0 0.0 -366.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
626 100716 0 Cash loans F Y N 1 135000.000 761067.0 60259.5 657000.0 Unaccompanied Commercial associate Secondary / secondary special Married With parents 0.018801 -11981 -2419 -5181.0 -3173 20.0 1 1 0 1 0 0 NaN 3.0 2 2 SATURDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.464550 0.318466 0.729567 1.0 0.0 1.0 0.0 -1604.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
631 100721 0 Cash loans F Y Y 1 216000.000 868500.0 25393.5 868500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.014520 -19605 365243 -6693.0 -3030 3.0 1 0 0 1 0 0 NaN 3.0 2 2 TUESDAY 9 0 0 0 0 0 0 XNA 0.723601 0.543631 NaN 0.0 0.0 0.0 0.0 -175.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
632 100722 0 Cash loans M Y Y 0 540000.000 545040.0 26640.0 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.028663 -16194 -1321 -8752.0 -4617 0.0 1 1 1 1 0 1 NaN 2.0 2 2 FRIDAY 13 0 0 0 0 0 0 Agriculture 0.647140 0.681053 0.528093 0.0 0.0 0.0 0.0 -2580.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
635 100725 0 Cash loans F Y Y 1 112500.000 1223010.0 51948.0 1125000.0 Unaccompanied Working Higher education Married House / apartment 0.004849 -11487 -997 -4939.0 -2531 7.0 1 1 0 1 1 0 NaN 3.0 2 2 WEDNESDAY 17 0 0 0 0 0 0 Business Entity Type 3 NaN 0.623905 0.810618 1.0 0.0 1.0 0.0 -732.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
640 100731 0 Revolving loans F Y Y 1 112500.000 270000.0 13500.0 270000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.035792 -13830 -1123 -3446.0 -5257 14.0 1 1 0 1 1 0 NaN 3.0 2 2 FRIDAY 9 0 0 0 0 0 0 Business Entity Type 2 0.494845 0.732272 0.678568 6.0 1.0 6.0 0.0 -886.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
646 100737 0 Cash loans F N Y 0 112500.000 247275.0 17208.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.035792 -24181 365243 -8064.0 -4427 0.0 1 0 0 1 0 0 NaN 1.0 2 2 FRIDAY 13 0 0 0 0 0 0 XNA NaN 0.620383 0.821443 8.0 0.0 8.0 0.0 -1391.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
650 100742 0 Cash loans F N Y 0 108000.000 390960.0 17352.0 337500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.018850 -20206 365243 -14116.0 -3378 0.0 1 0 0 1 0 0 NaN 2.0 2 2 TUESDAY 13 0 0 0 0 0 0 XNA 0.914346 0.446241 0.353988 0.0 0.0 0.0 0.0 -31.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0
652 100746 0 Revolving loans M Y Y 0 171000.000 495000.0 24750.0 495000.0 Unaccompanied Pensioner Higher education Married House / apartment 0.026392 -17806 365243 -3435.0 -1340 3.0 1 0 0 1 0 0 NaN 2.0 2 2 SUNDAY 12 0 0 0 1 0 0 XNA NaN 0.736885 0.570917 0.0 0.0 0.0 0.0 -988.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
656 100755 0 Cash loans F N Y 0 90000.000 107820.0 7420.5 90000.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.019689 -10598 -1023 -5012.0 -1639 0.0 1 1 1 1 0 0 NaN 2.0 2 2 FRIDAY 13 0 0 0 0 1 1 Business Entity Type 3 NaN 0.157111 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
668 100773 0 Cash loans F N Y 0 112500.000 254700.0 26226.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.025164 -23049 365243 -4452.0 -4132 0.0 1 0 0 1 1 0 NaN 1.0 2 2 FRIDAY 9 0 0 0 0 0 0 XNA NaN 0.481827 0.465069 5.0 0.0 5.0 0.0 -2559.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
678 100784 1 Cash loans F N Y 0 54000.000 1885500.0 74191.5 1885500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.031329 -22181 365243 -14266.0 -4714 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 10 0 0 0 0 0 0 XNA NaN 0.623843 NaN 6.0 0.0 6.0 0.0 -1683.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
679 100785 0 Cash loans F Y N 0 67500.000 293535.0 18085.5 265500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.007305 -21306 365243 -2144.0 -3248 19.0 1 0 0 1 0 0 NaN 2.0 3 3 SATURDAY 8 0 0 0 0 0 0 XNA NaN 0.142997 0.646330 0.0 0.0 0.0 0.0 -1803.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 3.0 0.0 1.0
680 100786 0 Cash loans F N N 0 270000.000 265851.0 11839.5 229500.0 Unaccompanied Working Higher education Married House / apartment 0.020713 -16625 -1890 -6371.0 -159 0.0 1 1 0 1 1 0 NaN 2.0 3 2 THURSDAY 7 0 0 0 0 0 0 School NaN 0.554405 0.567379 1.0 0.0 1.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
683 100789 0 Cash loans F N Y 0 112500.000 813195.0 24786.0 702000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010556 -16329 -1048 -1187.0 -4819 0.0 1 1 0 1 0 0 NaN 2.0 3 3 TUESDAY 11 0 0 0 0 0 0 Business Entity Type 3 NaN 0.493130 0.767523 0.0 0.0 0.0 0.0 -1163.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
686 100794 0 Cash loans F N Y 0 49500.000 431280.0 18400.5 360000.0 Family Pensioner Secondary / secondary special Widow House / apartment 0.031329 -21351 365243 -11095.0 -4795 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 8 0 0 0 0 0 0 XNA NaN 0.191543 0.771362 2.0 1.0 2.0 1.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
690 100799 0 Cash loans F Y Y 0 103500.000 886090.5 39159.0 792000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.018029 -21411 -3997 -4434.0 -4439 16.0 1 1 0 1 0 0 NaN 2.0 3 3 MONDAY 6 0 0 0 0 0 0 Medicine NaN 0.573712 0.549597 1.0 0.0 1.0 0.0 -2518.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
691 100800 0 Cash loans F N Y 0 126000.000 698517.0 23215.5 603000.0 Unaccompanied Pensioner Lower secondary Widow House / apartment 0.018634 -21314 365243 -2486.0 -4613 0.0 1 0 0 1 0 0 NaN 1.0 2 2 FRIDAY 10 0 0 0 0 0 0 XNA NaN 0.299789 0.689479 2.0 0.0 2.0 0.0 -807.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
699 100808 1 Cash loans F N Y 2 135000.000 640080.0 31261.5 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.022625 -9904 -1116 -737.0 -2241 0.0 1 1 0 1 0 0 NaN 4.0 2 2 FRIDAY 12 0 0 0 0 1 1 Business Entity Type 3 0.688832 0.712791 0.363945 0.0 0.0 0.0 0.0 -590.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 3.0
703 100812 0 Cash loans F N Y 1 270000.000 274779.0 28287.0 261000.0 Unaccompanied Commercial associate Higher education Separated Municipal apartment 0.072508 -13706 -1405 -5867.0 -5497 0.0 1 1 0 1 0 1 NaN 2.0 1 1 FRIDAY 12 0 0 0 0 0 0 Industry: type 9 0.765643 0.754098 0.754406 0.0 0.0 0.0 0.0 -3318.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
704 100813 0 Cash loans F N N 0 135000.000 635962.5 21865.5 549000.0 Unaccompanied Working Secondary / secondary special Widow Municipal apartment 0.022625 -15069 -1302 -6538.0 -4116 0.0 1 1 0 1 0 0 NaN 1.0 2 2 FRIDAY 14 0 0 0 1 1 0 Transport: type 4 NaN 0.639340 0.669057 3.0 0.0 3.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
706 100815 0 Cash loans M Y Y 0 112500.000 225000.0 12694.5 225000.0 Unaccompanied Pensioner Higher education Married House / apartment 0.018850 -22725 365243 -8534.0 -4299 3.0 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 10 0 0 0 0 0 0 XNA NaN 0.429091 0.772631 3.0 0.0 3.0 0.0 -170.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
707 100816 1 Cash loans F N Y 0 157500.000 88884.0 4950.0 67500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.022625 -22562 365243 -9173.0 -4536 0.0 1 0 0 1 0 0 NaN 2.0 2 2 TUESDAY 10 0 0 0 0 0 0 XNA NaN 0.553076 0.391055 0.0 0.0 0.0 0.0 -116.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 1.0 0.0 0.0 4.0 5.0
710 100819 0 Cash loans F N N 0 279000.000 1520253.0 44581.5 1327500.0 Unaccompanied Pensioner Secondary / secondary special Married Municipal apartment 0.009334 -20895 365243 -14964.0 -2644 0.0 1 0 0 1 0 0 NaN 2.0 2 2 SUNDAY 11 0 0 0 0 0 0 XNA NaN 0.743212 0.508287 0.0 0.0 0.0 0.0 -396.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
712 100821 0 Cash loans F N N 0 180000.000 1468719.0 40387.5 1282500.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.031329 -21579 -926 -7641.0 -4786 0.0 1 1 0 1 0 0 NaN 1.0 2 2 SUNDAY 8 0 0 0 0 0 0 Business Entity Type 3 NaN 0.634293 0.408359 1.0 1.0 1.0 1.0 -635.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
713 100822 0 Cash loans M N Y 1 225000.000 616923.0 48870.0 558000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.009175 -11653 -439 -2223.0 -4288 0.0 1 1 0 1 0 1 NaN 3.0 2 2 MONDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.266061 0.285898 0.499272 0.0 0.0 0.0 0.0 -618.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
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306903 455573 0 Cash loans M Y N 0 180000.000 706221.0 22909.5 589500.0 Family Working Secondary / secondary special Married House / apartment 0.035792 -14328 -3463 -7454.0 -4891 16.0 1 1 0 1 0 0 NaN 2.0 2 2 SUNDAY 10 0 0 0 0 0 0 Business Entity Type 2 NaN 0.724620 0.743559 7.0 0.0 7.0 0.0 -1709.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
306904 455574 0 Cash loans F N N 0 135000.000 495351.0 26023.5 459000.0 Unaccompanied Pensioner Secondary / secondary special Civil marriage House / apartment 0.007020 -19223 365243 -11168.0 -2656 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 16 0 0 0 0 0 0 XNA NaN 0.115914 NaN 0.0 0.0 0.0 0.0 -342.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 5.0
306909 455579 0 Cash loans F N N 0 135000.000 497520.0 28692.0 450000.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.010966 -21179 365243 -4363.0 -4362 0.0 1 0 0 1 1 0 NaN 1.0 2 2 FRIDAY 13 0 0 0 0 0 0 XNA NaN 0.035709 NaN 0.0 0.0 0.0 0.0 -204.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
306915 455586 0 Revolving loans F N Y 0 99000.000 270000.0 13500.0 270000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.007330 -20538 365243 -7244.0 -3469 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 11 0 0 0 0 0 0 XNA NaN 0.625755 NaN 0.0 0.0 0.0 0.0 -662.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
306916 455587 0 Cash loans F N Y 0 72000.000 52128.0 5472.0 45000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.022625 -19461 -3139 -8438.0 -3005 0.0 1 1 1 1 0 0 NaN 2.0 2 2 MONDAY 9 0 0 0 0 0 0 Kindergarten NaN 0.791277 0.610991 0.0 0.0 0.0 0.0 -2380.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
306920 455591 0 Cash loans F N Y 0 112500.000 634482.0 20596.5 454500.0 Unaccompanied Working Higher education Single / not married House / apartment 0.003122 -14446 -3161 -861.0 -5558 0.0 1 1 0 1 0 0 NaN 1.0 3 3 WEDNESDAY 13 0 0 0 0 0 0 Other 0.671340 0.632846 0.475850 0.0 0.0 0.0 0.0 -990.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
306921 455592 0 Cash loans F N Y 0 135000.000 405000.0 17968.5 405000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.030755 -22260 365243 -2568.0 -3890 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 10 0 0 0 0 0 0 XNA NaN 0.597339 0.712155 0.0 0.0 0.0 0.0 -2189.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
306926 455597 0 Cash loans F N Y 0 90000.000 593010.0 17469.0 495000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.005084 -22840 365243 -209.0 -5067 0.0 1 0 0 1 1 0 NaN 2.0 2 2 SUNDAY 10 0 0 0 0 0 0 XNA NaN 0.590017 0.190706 0.0 0.0 0.0 0.0 -466.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 0.0
306927 455598 0 Cash loans F Y Y 0 157500.000 1928304.0 71590.5 1800000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.004849 -21208 365243 -8290.0 -4334 14.0 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 14 0 0 0 0 0 0 XNA NaN 0.591202 NaN 0.0 0.0 0.0 0.0 -151.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
306929 455600 0 Cash loans F Y Y 0 180000.000 696528.0 50814.0 630000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.046220 -17126 -611 -6584.0 -666 1.0 1 1 0 1 0 0 NaN 2.0 1 1 SATURDAY 14 0 0 0 0 1 1 Transport: type 4 NaN 0.246700 0.762336 6.0 0.0 6.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
306933 455604 0 Cash loans F N N 0 54000.000 327024.0 12456.0 270000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.004960 -21633 365243 -2746.0 -2753 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 11 0 0 0 0 0 0 XNA NaN 0.552606 0.771362 1.0 0.0 1.0 0.0 -366.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
306936 455608 0 Cash loans F Y Y 1 112500.000 1264428.0 37098.0 990000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.019689 -10641 -3188 -4219.0 -2913 14.0 1 1 0 1 1 0 NaN 3.0 2 2 SATURDAY 13 0 0 0 0 0 0 Transport: type 4 NaN 0.471534 0.353988 4.0 0.0 4.0 0.0 -2095.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 5.0
306937 455609 0 Cash loans M Y Y 0 144000.000 2129445.0 56304.0 1777500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.035792 -17530 365243 -3320.0 -1083 24.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 11 0 0 0 0 0 0 XNA 0.697898 0.623473 0.634706 0.0 0.0 0.0 0.0 -1645.0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
306940 455612 0 Cash loans M Y Y 0 247500.000 213948.0 17032.5 189000.0 Family Working Secondary / secondary special Single / not married House / apartment 0.004960 -14900 -1930 -4654.0 -2277 10.0 1 1 0 1 0 0 NaN 1.0 2 2 FRIDAY 17 0 0 0 0 0 0 Transport: type 4 0.725114 0.639133 0.170446 0.0 0.0 0.0 0.0 -988.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 7.0
306942 455614 0 Cash loans M Y Y 1 247500.000 545040.0 25537.5 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.002042 -14445 -1465 -2023.0 -3440 3.0 1 1 0 1 0 0 NaN 3.0 3 3 TUESDAY 10 0 0 0 0 1 1 Business Entity Type 3 NaN 0.027173 0.248536 2.0 0.0 2.0 0.0 -63.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0
306943 455615 1 Cash loans F N N 0 171000.000 239850.0 25830.0 225000.0 Unaccompanied Commercial associate Incomplete higher Single / not married House / apartment 0.031329 -8342 -1679 -3143.0 -1004 0.0 1 1 1 1 0 0 NaN 1.0 2 2 THURSDAY 15 0 0 0 0 0 0 Transport: type 4 0.244830 0.108418 NaN 0.0 0.0 0.0 0.0 -573.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
306952 455624 0 Cash loans M Y Y 0 247500.000 1546020.0 50004.0 1350000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.007020 -21581 365243 -2080.0 -5105 2.0 1 0 0 1 0 0 NaN 2.0 2 2 SUNDAY 11 0 0 0 0 0 0 XNA NaN 0.689439 0.288130 6.0 0.0 6.0 0.0 -1457.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 4.0 0.0 3.0
306953 455625 0 Cash loans F N Y 1 90000.000 344043.0 24597.0 297000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.006852 -17641 -2159 -8059.0 -1174 0.0 1 1 0 1 0 0 NaN 3.0 3 3 SUNDAY 9 0 0 0 0 0 0 Business Entity Type 3 NaN 0.080822 0.778904 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
306958 455630 0 Cash loans F Y Y 0 225000.000 1473871.5 43222.5 1287000.0 Unaccompanied Pensioner Higher education Married House / apartment 0.010006 -21940 365243 -8567.0 -2556 0.0 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA 0.545600 0.508748 0.406617 2.0 0.0 2.0 0.0 -2507.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0
306959 455631 0 Cash loans F N N 0 90000.000 557770.5 18562.5 481500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.018801 -22796 365243 -2950.0 -1975 0.0 1 0 0 1 0 0 NaN 2.0 2 2 SATURDAY 13 0 0 0 1 0 0 XNA NaN 0.172738 0.108924 3.0 0.0 3.0 0.0 -1817.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
306960 455632 0 Revolving loans F Y N 0 225000.000 360000.0 18000.0 360000.0 Unaccompanied State servant Higher education Married House / apartment 0.018801 -19158 -6319 -8498.0 -2696 14.0 1 1 0 1 0 0 NaN 2.0 2 2 FRIDAY 8 0 0 0 0 0 0 Government NaN 0.592137 0.457900 0.0 0.0 0.0 0.0 -2285.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
306962 455634 0 Cash loans F N Y 1 112500.000 755190.0 32125.5 675000.0 Family Working Secondary / secondary special Married House / apartment 0.028663 -13266 -3158 -783.0 -4039 0.0 1 1 0 1 1 0 NaN 3.0 2 2 MONDAY 11 0 0 0 0 0 0 Business Entity Type 3 0.519191 0.556668 0.583238 0.0 0.0 0.0 0.0 -1540.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
306965 455639 0 Cash loans M Y Y 0 90000.000 505066.5 27036.0 468000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.007114 -20163 365243 -3132.0 -3563 22.0 1 0 0 1 0 0 NaN 2.0 2 2 SATURDAY 13 0 0 0 0 0 0 XNA 0.480171 0.302818 0.593718 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 0.0 2.0
306970 455647 0 Cash loans F N Y 0 67500.000 67500.0 7047.0 67500.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.028663 -24124 365243 -4750.0 -4756 0.0 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 9 0 0 0 0 0 0 XNA 0.683154 0.328115 NaN 0.0 0.0 0.0 0.0 -312.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
306974 455653 0 Cash loans F N Y 2 135000.000 779688.0 39937.5 630000.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.005084 -13631 -234 -1092.0 -4694 0.0 1 1 0 1 0 0 NaN 4.0 2 2 FRIDAY 13 0 0 0 0 1 1 Industry: type 3 NaN 0.568651 NaN 0.0 0.0 0.0 0.0 -573.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
306979 455659 0 Cash loans F N Y 0 135000.000 417024.0 20191.5 360000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.030755 -23090 365243 -13408.0 -4185 0.0 1 0 0 1 0 0 NaN 1.0 2 2 FRIDAY 14 0 0 0 0 0 0 XNA NaN 0.633567 0.130129 1.0 0.0 1.0 0.0 -398.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
306980 455660 0 Cash loans F N Y 0 157500.000 802773.0 26658.0 693000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.030755 -20160 365243 -7228.0 -2542 0.0 1 0 0 1 0 0 NaN 2.0 2 2 TUESDAY 10 0 0 0 0 0 0 XNA NaN 0.655955 0.669057 0.0 0.0 0.0 0.0 -450.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
306982 455662 0 Cash loans F Y Y 0 202500.000 1724220.0 47542.5 1350000.0 Unaccompanied State servant Secondary / secondary special Married House / apartment 0.030755 -16983 -5323 -355.0 -527 9.0 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 17 0 0 0 0 0 0 Other NaN 0.663705 0.604113 0.0 0.0 0.0 0.0 -876.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 4.0 0.0 0.0
306987 455667 0 Cash loans M N Y 0 90000.000 152820.0 15241.5 135000.0 Unaccompanied Pensioner Higher education Married House / apartment 0.035792 -24779 365243 -2575.0 -3052 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 11 0 0 0 0 0 0 XNA NaN 0.357342 NaN 0.0 0.0 0.0 0.0 -2016.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
306988 455668 0 Cash loans F N Y 0 112500.000 348264.0 19575.0 315000.0 Family Working Secondary / secondary special Civil marriage House / apartment 0.022625 -15882 -3670 -7771.0 -4551 0.0 1 1 1 1 0 0 NaN 2.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 Construction 0.821632 0.647433 NaN 5.0 0.0 5.0 0.0 -1080.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
306992 455672 0 Cash loans F N Y 0 270000.000 900000.0 26316.0 900000.0 Family Pensioner Higher education Married House / apartment 0.011703 -21340 365243 -4133.0 -4567 0.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 12 0 0 0 0 0 0 XNA 0.873857 0.720865 0.475850 6.0 0.0 6.0 0.0 -421.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
306996 455676 0 Cash loans F N N 2 130500.000 550980.0 33835.5 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.009657 -11337 -2569 -4682.0 -3484 0.0 1 1 0 1 0 0 NaN 4.0 2 2 TUESDAY 9 0 0 0 0 0 0 Other 0.195272 0.350074 0.662638 0.0 0.0 0.0 0.0 -995.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 2.0 0.0
307002 455682 0 Cash loans M Y N 0 546250.500 1800000.0 166572.0 1800000.0 Unaccompanied Commercial associate Incomplete higher Married House / apartment 0.030755 -11315 -1992 -6058.0 -234 3.0 1 1 1 1 0 0 NaN 2.0 2 2 MONDAY 11 1 1 0 1 1 0 Insurance 0.339781 0.594654 NaN 0.0 0.0 0.0 0.0 -1278.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 NaN NaN NaN NaN NaN NaN
307008 455688 0 Cash loans F N N 0 90000.000 315000.0 15151.5 315000.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.010006 -21306 365243 -5447.0 -3869 0.0 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 19 0 0 0 0 0 0 XNA NaN 0.360734 0.689479 3.0 0.0 3.0 0.0 -3021.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307010 455690 0 Cash loans F N Y 1 90000.000 331834.5 17073.0 252000.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.022800 -13777 -891 -5635.0 -4571 0.0 1 1 0 1 0 0 NaN 3.0 2 2 WEDNESDAY 15 0 0 0 1 1 1 Business Entity Type 2 0.260904 0.508923 0.659406 0.0 0.0 0.0 0.0 -553.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307012 455692 0 Cash loans M N Y 1 135000.000 148365.0 13738.5 135000.0 Unaccompanied Working Higher education Married House / apartment 0.046220 -9351 -1283 -8970.0 -1422 0.0 1 1 0 1 0 0 NaN 3.0 1 1 SUNDAY 10 0 0 0 0 1 1 Business Entity Type 3 NaN 0.133115 0.298595 2.0 1.0 2.0 1.0 -347.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
307018 455701 0 Cash loans F N N 0 90000.000 135000.0 11547.0 135000.0 Unaccompanied Working Higher education Single / not married House / apartment 0.025164 -9382 -645 -7150.0 -2052 0.0 1 1 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 14 0 0 0 1 1 0 Business Entity Type 3 0.173886 0.083107 0.323311 0.0 0.0 0.0 0.0 -439.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 5.0
307020 455704 0 Cash loans F N Y 0 76500.000 225000.0 22050.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.028663 -24646 365243 -1540.0 -4590 0.0 1 0 0 1 1 0 NaN 1.0 2 2 MONDAY 9 0 0 0 0 0 0 XNA NaN 0.514305 NaN 5.0 0.0 5.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307024 455708 0 Cash loans F Y Y 0 225000.000 1035832.5 33543.0 904500.0 Spouse, partner Commercial associate Secondary / secondary special Married House / apartment 0.072508 -19046 -1693 -8796.0 -2528 20.0 1 1 0 1 1 0 NaN 2.0 1 1 SUNDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.747893 0.725736 NaN 1.0 0.0 1.0 0.0 -1936.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307028 455712 0 Cash loans F N Y 0 220500.000 1006920.0 51543.0 900000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.007020 -20625 365243 -4440.0 -1692 0.0 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 13 0 0 0 0 0 0 XNA 0.371518 0.238278 0.394495 0.0 0.0 0.0 0.0 -274.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307029 455713 0 Cash loans F Y N 2 153000.000 808650.0 26217.0 675000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.008625 -20934 365243 -12709.0 -4376 64.0 1 0 0 1 0 0 NaN 3.0 2 2 WEDNESDAY 16 0 0 0 0 0 0 XNA 0.914571 NaN 0.725276 0.0 0.0 0.0 0.0 -1110.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307042 455726 1 Cash loans F N N 1 162000.000 521280.0 26743.5 450000.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.030755 -11433 -852 -5215.0 -1503 0.0 1 1 0 1 0 0 NaN 3.0 2 2 TUESDAY 12 0 0 0 0 1 1 Business Entity Type 2 NaN 0.232036 0.651260 1.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 6.0
307043 455727 0 Cash loans F N Y 0 63000.000 517266.0 25015.5 387000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.031329 -23102 365243 -4175.0 -4814 0.0 1 0 0 1 1 0 NaN 1.0 2 2 SATURDAY 12 0 0 0 0 0 0 XNA NaN 0.567347 0.768808 0.0 0.0 0.0 0.0 -243.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0
307046 455730 0 Revolving loans M Y Y 1 247500.000 270000.0 13500.0 270000.0 Unaccompanied Commercial associate Incomplete higher Married House / apartment 0.072508 -8879 -987 -8849.0 -1526 3.0 1 1 0 1 1 0 NaN 3.0 1 1 THURSDAY 16 0 0 0 0 0 0 Industry: type 11 NaN 0.710799 NaN 0.0 0.0 0.0 0.0 -787.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307053 455737 0 Cash loans F N Y 0 112500.000 254700.0 14350.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.019689 -24022 365243 -5695.0 -4623 0.0 1 0 0 1 0 0 NaN 1.0 2 2 SUNDAY 11 0 0 0 0 0 0 XNA NaN 0.198762 0.773896 0.0 0.0 0.0 0.0 -1515.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 4.0
307054 455738 0 Cash loans F N Y 1 135000.000 805500.0 57415.5 805500.0 Family Pensioner Secondary / secondary special Married House / apartment 0.015221 -20593 365243 -7554.0 -4081 0.0 1 0 0 1 0 1 NaN 3.0 2 2 WEDNESDAY 8 0 0 0 0 0 0 XNA 0.626857 0.776368 0.643026 0.0 0.0 0.0 0.0 -1663.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307058 455743 0 Cash loans M N Y 0 427500.000 1113840.0 60552.0 900000.0 Unaccompanied Pensioner Higher education Separated House / apartment 0.046220 -23029 365243 -608.0 -3005 0.0 1 0 0 1 0 0 NaN 1.0 1 1 MONDAY 17 0 0 0 0 0 0 XNA NaN 0.644417 0.352340 0.0 0.0 0.0 0.0 -426.0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307060 455745 0 Cash loans M Y N 0 121500.000 605439.0 31041.0 481500.0 Other_B Working Secondary / secondary special Single / not married With parents 0.010643 -8430 -284 -4197.0 -980 10.0 1 1 0 1 0 0 NaN 1.0 2 2 THURSDAY 14 0 0 0 0 0 0 Industry: type 1 NaN 0.245269 0.294083 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307062 455747 0 Cash loans F N Y 0 110250.000 740704.5 32755.5 598500.0 Children Pensioner Secondary / secondary special Married House / apartment 0.010147 -21490 365243 -12337.0 -4341 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 13 0 0 0 0 0 0 XNA 0.725128 0.450417 0.565608 6.0 0.0 6.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307069 455759 0 Cash loans F N Y 0 130500.000 1350000.0 70033.5 1350000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.018029 -18812 -5356 -6194.0 -2288 0.0 1 1 1 1 1 0 NaN 2.0 3 3 THURSDAY 6 0 0 0 0 0 0 Business Entity Type 3 0.677139 0.274529 0.802745 2.0 0.0 2.0 0.0 -315.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 2.0
307070 455760 0 Cash loans M Y Y 0 112500.000 585000.0 17230.5 585000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.026392 -15834 -2576 -8326.0 -4260 8.0 1 1 0 1 0 0 NaN 2.0 2 2 SATURDAY 17 0 0 0 0 0 0 Other NaN 0.708402 0.761026 1.0 0.0 1.0 0.0 -1521.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
307076 455766 0 Revolving loans F Y Y 0 112500.000 315000.0 15750.0 315000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.008625 -21387 365243 -13564.0 -1249 64.0 1 0 0 1 0 0 NaN 2.0 2 2 SATURDAY 16 0 0 0 0 0 0 XNA NaN 0.135198 0.593718 0.0 0.0 0.0 0.0 -527.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307078 455768 0 Cash loans F N Y 0 202500.000 1506816.0 47313.0 1350000.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.032561 -20263 -1560 -6983.0 -3794 0.0 1 1 1 1 1 0 NaN 2.0 1 1 TUESDAY 19 0 0 0 0 0 0 Business Entity Type 3 NaN 0.769316 NaN 0.0 0.0 0.0 0.0 -3062.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307080 455770 0 Cash loans F N Y 0 90000.000 656811.0 21834.0 567000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.025164 -20867 365243 -4112.0 -4273 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 14 0 0 0 0 0 0 XNA NaN 0.633516 0.368969 2.0 1.0 2.0 1.0 -1165.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 3.0
307081 455771 0 Cash loans M N Y 0 157500.000 343800.0 16155.0 225000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.014464 -9434 -1168 -3662.0 -2100 0.0 1 1 0 1 0 0 NaN 1.0 2 2 THURSDAY 10 0 0 0 0 0 0 Self-employed 0.249562 0.598784 0.636376 1.0 1.0 1.0 1.0 -471.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307085 455775 0 Cash loans M N N 0 180000.000 454500.0 19255.5 454500.0 Family Working Secondary / secondary special Single / not married House / apartment 0.008866 -9383 -674 -894.0 -2018 0.0 1 1 1 1 1 0 NaN 1.0 2 2 TUESDAY 15 0 0 0 0 0 0 Other NaN 0.557180 0.315472 0.0 0.0 0.0 0.0 -1809.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307087 455777 0 Cash loans M Y Y 0 90000.000 970380.0 28372.5 810000.0 Unaccompanied Working Incomplete higher Married With parents 0.005084 -12301 -2745 -916.0 -4452 7.0 1 1 1 1 1 0 NaN 2.0 2 2 WEDNESDAY 15 0 0 0 0 0 0 Self-employed 0.571141 0.674880 0.247191 1.0 0.0 1.0 0.0 -633.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
307088 455778 0 Cash loans F N Y 0 90000.000 99000.0 9387.0 99000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.026392 -22636 365243 -9202.0 -4385 0.0 1 0 0 1 0 0 NaN 1.0 2 2 SATURDAY 11 0 0 0 0 0 0 XNA NaN 0.692101 0.643026 9.0 1.0 9.0 1.0 -1939.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307089 455779 0 Cash loans F N Y 0 90000.000 508495.5 19894.5 454500.0 Family Pensioner Secondary / secondary special Separated House / apartment 0.019101 -21748 365243 -8438.0 -4538 0.0 1 0 0 1 0 0 NaN 1.0 2 2 FRIDAY 10 0 0 0 0 0 0 XNA NaN 0.331808 0.798137 8.0 1.0 8.0 1.0 -3233.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 2.0
307093 455783 0 Cash loans F N Y 0 112500.000 364896.0 22180.5 315000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.008068 -21029 365243 -765.0 -4438 0.0 1 0 0 1 0 0 NaN 2.0 3 3 WEDNESDAY 8 0 0 0 0 0 0 XNA 0.702784 0.494371 0.549597 5.0 0.0 5.0 0.0 -615.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
307095 455785 0 Cash loans F Y Y 0 135000.000 2013840.0 53253.0 1800000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.031329 -20296 365243 -5953.0 -1633 3.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 9 0 0 0 0 0 0 XNA 0.546025 0.212177 0.746300 0.0 0.0 0.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 3.0 1.0 2.0
307099 455790 0 Cash loans F N Y 0 135000.000 454500.0 33394.5 454500.0 Family Working Secondary / secondary special Married House / apartment 0.015221 -19181 -2334 -9844.0 -2726 0.0 1 1 0 1 1 1 NaN 2.0 2 2 THURSDAY 9 0 0 0 0 1 1 Government NaN 0.397631 0.194068 0.0 0.0 0.0 0.0 -777.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307106 455797 0 Cash loans F N Y 0 103500.000 454500.0 19386.0 454500.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.026392 -23152 365243 -4877.0 -4243 0.0 1 0 0 1 1 0 NaN 1.0 2 2 MONDAY 11 0 0 0 0 0 0 XNA NaN 0.725104 0.852828 3.0 1.0 3.0 0.0 -354.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 2.0
307107 455799 0 Cash loans F N Y 0 90000.000 558855.0 31333.5 477000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.025164 -21527 365243 -3292.0 -4930 0.0 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 8 0 0 0 0 0 0 XNA NaN 0.153571 NaN 2.0 0.0 2.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0
307109 455801 0 Cash loans F N Y 0 360000.000 685012.5 29151.0 553500.0 Unaccompanied State servant Higher education Single / not married House / apartment 0.003813 -15483 -7418 -5779.0 -4533 0.0 1 1 0 1 1 0 NaN 1.0 2 2 SATURDAY 10 0 0 0 0 0 0 Police 0.713437 0.525865 0.228883 1.0 0.0 1.0 0.0 -723.0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 7.0
307113 455809 0 Cash loans F N Y 1 94500.000 203760.0 11506.5 180000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.018801 -15309 -477 -932.0 -4768 0.0 1 1 1 1 0 0 NaN 3.0 2 2 TUESDAY 9 0 0 0 0 1 1 Business Entity Type 3 NaN 0.597533 0.827703 2.0 0.0 2.0 0.0 -61.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307114 455810 0 Cash loans M N Y 0 202500.000 450000.0 21888.0 450000.0 Family Working Higher education Single / not married House / apartment 0.018850 -19279 -589 -2287.0 -2808 0.0 1 1 1 1 1 0 NaN 1.0 2 2 TUESDAY 14 0 1 1 0 1 1 Transport: type 4 NaN 0.666481 0.604113 0.0 0.0 0.0 0.0 -1211.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 3.0
307116 455812 0 Cash loans F N Y 0 67500.000 181989.0 8482.5 143977.5 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.031329 -21453 365243 -10654.0 -4909 0.0 1 0 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 XNA NaN 0.544787 NaN 2.0 0.0 2.0 0.0 -3017.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307119 455815 0 Cash loans F N Y 0 112500.000 254700.0 14751.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.018634 -24403 365243 -11864.0 -4037 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 11 0 0 0 0 0 0 XNA NaN 0.765922 0.484851 1.0 1.0 1.0 1.0 -1538.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 9.0
307120 455816 0 Cash loans F N Y 0 360000.000 1159758.0 61920.0 1044000.0 Unaccompanied Pensioner Higher education Separated House / apartment 0.035792 -21169 365243 -5.0 -4641 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 15 0 0 0 0 0 0 XNA NaN 0.688154 0.633032 0.0 0.0 0.0 0.0 -1842.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0
307128 455824 0 Revolving loans F N Y 0 81000.000 180000.0 9000.0 180000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.031329 -23366 365243 -1078.0 -5334 0.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 16 0 0 0 0 0 0 XNA NaN 0.673386 0.643026 2.0 0.0 2.0 0.0 -238.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0
307129 455825 0 Revolving loans F N Y 0 360000.000 765000.0 38250.0 765000.0 Unaccompanied Pensioner Higher education Single / not married House / apartment 0.020713 -22143 365243 -14798.0 -4855 0.0 1 0 0 1 0 0 NaN 1.0 3 2 TUESDAY 10 0 0 0 0 0 0 XNA NaN 0.281308 NaN 1.0 0.0 1.0 0.0 -519.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307134 455831 0 Cash loans F N Y 0 110250.000 254700.0 14620.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.014464 -24063 365243 -11204.0 -4302 0.0 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 4 0 0 0 0 0 0 XNA NaN 0.667220 0.835777 0.0 0.0 0.0 0.0 -330.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307135 455832 0 Cash loans F N Y 0 180000.000 239850.0 23494.5 225000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.072508 -24907 365243 -11031.0 -5583 0.0 1 0 0 1 1 0 NaN 2.0 1 1 TUESDAY 12 0 0 0 0 0 0 XNA NaN 0.406136 NaN 0.0 0.0 0.0 0.0 -798.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307141 455838 0 Cash loans F N Y 0 67500.000 225000.0 12694.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.018801 -20676 365243 -742.0 -3562 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 8 0 0 0 0 0 0 XNA NaN 0.237061 0.531686 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 2.0 2.0
307142 455839 0 Cash loans F Y Y 0 337500.000 454500.0 20151.0 454500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.072508 -20802 365243 -8260.0 -4263 4.0 1 0 0 1 0 0 NaN 2.0 1 1 WEDNESDAY 11 0 0 0 0 0 0 XNA 0.358696 0.610374 0.819318 2.0 0.0 2.0 0.0 -1506.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
307146 455844 0 Cash loans F N N 0 157500.000 288994.5 28282.5 274500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.014464 -19873 365243 -7025.0 -3425 0.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 8 0 0 0 0 0 0 XNA NaN 0.574541 0.528093 1.0 0.0 1.0 0.0 -2367.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307147 455845 0 Cash loans F N Y 0 225000.000 951538.5 51750.0 850500.0 Family Working Higher education Civil marriage With parents 0.020713 -8873 -1034 -8821.0 -1542 0.0 1 1 0 1 0 0 NaN 2.0 3 1 SUNDAY 10 0 0 0 0 0 0 Transport: type 4 0.380258 0.643595 NaN 0.0 0.0 0.0 0.0 -902.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307150 455848 0 Cash loans F N Y 0 90000.000 1212426.0 35451.0 868500.0 Family Working Secondary / secondary special Married House / apartment 0.035792 -17002 -860 -5893.0 -556 0.0 1 1 1 1 1 0 NaN 2.0 2 2 MONDAY 9 0 1 1 0 1 1 Self-employed NaN 0.607562 NaN 3.0 0.0 3.0 0.0 -618.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307151 455851 0 Cash loans M N N 0 247500.000 298512.0 19435.5 270000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.008019 -8701 -1695 -619.0 -1381 0.0 1 1 0 1 0 0 NaN 1.0 2 2 FRIDAY 17 0 0 0 0 0 0 Business Entity Type 3 NaN 0.437672 0.517297 8.0 0.0 8.0 0.0 -741.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0
307153 455855 0 Cash loans F N Y 0 112500.000 1125000.0 33025.5 1125000.0 Unaccompanied Pensioner Secondary / secondary special Civil marriage House / apartment 0.026392 -22342 365243 -879.0 -4037 0.0 1 0 0 1 1 0 NaN 2.0 2 2 MONDAY 9 0 0 0 0 0 0 XNA NaN 0.698968 0.591977 0.0 0.0 0.0 0.0 -1929.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307156 455858 0 Cash loans F Y N 0 121500.000 900000.0 29034.0 900000.0 Unaccompanied Pensioner Higher education Married House / apartment 0.018209 -20254 365243 -5936.0 -3805 10.0 1 0 0 1 1 0 NaN 2.0 3 3 FRIDAY 8 0 0 0 0 0 0 XNA 0.671865 0.528688 0.323311 0.0 0.0 0.0 0.0 -136.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
307162 455865 1 Cash loans M N N 0 180000.000 450000.0 30573.0 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.014464 -17051 -1312 -2033.0 -592 0.0 1 1 1 1 1 0 NaN 2.0 2 2 SATURDAY 4 0 0 0 0 0 0 Industry: type 9 NaN 0.400636 0.294083 1.0 0.0 1.0 0.0 -753.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 3.0
307166 455869 0 Cash loans F N Y 0 225000.000 1312110.0 55723.5 1125000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.035792 -19094 365243 -6304.0 -2559 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 17 0 0 0 0 0 0 XNA NaN 0.583203 0.740799 0.0 0.0 0.0 0.0 -347.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307167 455870 0 Cash loans M Y Y 0 225000.000 1174090.5 46692.0 1080000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.019101 -22704 365243 -11452.0 -4584 0.0 1 0 0 1 0 0 NaN 2.0 2 2 TUESDAY 14 0 0 0 0 0 0 XNA NaN 0.754799 0.647977 5.0 1.0 5.0 0.0 -706.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
307179 455882 0 Cash loans F N Y 0 112500.000 254700.0 14350.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.011703 -22560 365243 -5322.0 -4055 0.0 1 0 0 1 0 0 NaN 2.0 2 2 SATURDAY 10 0 0 0 0 0 0 XNA NaN 0.109559 0.771362 0.0 0.0 0.0 0.0 -25.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0
307182 455885 0 Cash loans F N Y 0 360000.000 229365.0 21163.5 198000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.046220 -20083 365243 -789.0 -3408 0.0 1 0 0 1 0 0 NaN 2.0 1 1 TUESDAY 17 0 0 0 0 0 0 XNA NaN 0.668641 0.522697 3.0 0.0 3.0 0.0 -627.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
307188 455891 0 Revolving loans F N Y 0 180000.000 382500.0 19125.0 382500.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.007330 -22338 365243 -9335.0 -4136 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 11 0 0 0 0 0 0 XNA NaN 0.651713 0.766234 0.0 0.0 0.0 0.0 -1194.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 3.0
307190 455893 0 Cash loans F N Y 1 148500.000 840996.0 24718.5 702000.0 Family Working Secondary / secondary special Separated House / apartment 0.008474 -13712 -2409 -2885.0 -4986 0.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 11 0 0 0 0 0 0 Other 0.461635 0.499504 0.347418 0.0 0.0 0.0 0.0 -1596.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307193 455896 0 Cash loans F N N 0 81000.000 323388.0 31630.5 292500.0 Unaccompanied Pensioner Secondary / secondary special Widow Municipal apartment 0.031329 -22213 365243 -9111.0 -4609 0.0 1 0 0 1 0 0 NaN 1.0 2 2 SATURDAY 9 0 0 0 0 0 0 XNA NaN 0.623674 0.777659 1.0 1.0 1.0 1.0 -1784.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307194 455898 0 Cash loans F Y Y 0 157500.000 450000.0 22018.5 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.026392 -16247 -1374 -3004.0 -2003 2.0 1 1 0 1 1 0 NaN 2.0 2 2 THURSDAY 15 0 0 0 1 1 0 Self-employed NaN 0.411336 0.522697 0.0 0.0 0.0 0.0 -1691.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 4.0 0.0 2.0
307195 455899 0 Cash loans M Y Y 0 202500.000 269550.0 19300.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.035792 -16073 365243 -277.0 -4435 5.0 1 0 0 1 0 0 NaN 2.0 2 2 SATURDAY 11 0 0 0 0 0 0 XNA 0.277852 0.756954 NaN 0.0 0.0 0.0 0.0 -690.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307197 455901 0 Cash loans F N N 0 202500.000 728460.0 38578.5 675000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.007020 -22054 365243 -2509.0 -4519 0.0 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 16 0 0 0 0 0 0 XNA NaN 0.289478 NaN 1.0 1.0 1.0 1.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
307199 455904 0 Revolving loans M Y Y 2 202500.000 270000.0 13500.0 270000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.019689 -12110 -694 -2554.0 -3820 2.0 1 1 0 1 0 1 NaN 4.0 2 2 TUESDAY 15 0 0 0 0 0 0 Business Entity Type 3 0.604201 0.765310 0.225087 2.0 0.0 2.0 0.0 -3079.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
307201 455906 0 Cash loans F N N 0 130500.000 545040.0 26640.0 450000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.018801 -21412 365243 -9105.0 -4720 0.0 1 0 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA 0.681215 0.553590 0.621226 0.0 0.0 0.0 0.0 -2179.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0
307203 455911 0 Cash loans F N Y 0 112500.000 536917.5 19413.0 463500.0 Unaccompanied Working Secondary / secondary special Separated House / apartment 0.010147 -19746 -4093 -8884.0 -3287 0.0 1 1 0 1 0 0 NaN 1.0 2 2 FRIDAY 10 0 0 0 0 1 1 Self-employed 0.817352 0.603948 0.609276 5.0 0.0 5.0 0.0 -376.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307207 455915 0 Cash loans F N Y 0 36000.000 225000.0 20952.0 225000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.015221 -18442 -1963 -6810.0 -1972 0.0 1 1 1 1 1 0 NaN 2.0 2 2 TUESDAY 7 0 0 0 0 0 0 Business Entity Type 3 NaN 0.486999 0.761026 0.0 0.0 0.0 0.0 -1120.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
307208 455916 0 Cash loans F N Y 0 315000.000 646920.0 20997.0 540000.0 Unaccompanied State servant Secondary / secondary special Civil marriage House / apartment 0.011703 -18005 -1020 -8833.0 -1552 0.0 1 1 0 1 0 0 NaN 2.0 2 2 TUESDAY 18 0 0 0 0 0 0 Other 0.721364 0.504588 0.562060 4.0 0.0 4.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
307211 455919 0 Cash loans F N N 0 76500.000 448056.0 16092.0 315000.0 Family Pensioner Secondary / secondary special Widow House / apartment 0.022800 -22723 365243 -4840.0 -4095 0.0 1 0 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 17 0 0 0 1 0 0 XNA 0.849093 0.265256 0.171468 4.0 0.0 4.0 0.0 -1858.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 5.0
307212 455920 0 Cash loans F N N 0 189000.000 206271.0 19584.0 193500.0 Unaccompanied Pensioner Secondary / secondary special Separated Co-op apartment 0.072508 -22699 365243 -841.0 -782 0.0 1 0 0 1 1 0 NaN 1.0 1 1 SATURDAY 11 0 0 0 0 0 0 XNA NaN 0.731512 0.243186 0.0 0.0 0.0 0.0 -1613.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0
307213 455921 0 Cash loans F N Y 0 95850.000 518562.0 20695.5 463500.0 Spouse, partner Commercial associate Secondary / secondary special Single / not married House / apartment 0.022800 -17659 -10481 -545.0 -1195 0.0 1 1 0 1 0 0 NaN 1.0 2 2 THURSDAY 14 0 0 0 0 0 0 Business Entity Type 3 0.841603 0.710246 0.450747 1.0 1.0 1.0 1.0 -414.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 0.0
307216 455924 0 Cash loans F Y Y 0 225000.000 1827549.0 50386.5 1525500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.072508 -18772 365243 -798.0 -48 6.0 1 0 0 1 1 0 NaN 2.0 1 1 TUESDAY 14 0 0 0 0 0 0 XNA 0.673478 0.774887 NaN 1.0 0.0 1.0 0.0 -2056.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307221 455929 0 Cash loans F N N 0 319500.000 341280.0 21006.0 270000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.006207 -20959 365243 -10773.0 -4248 0.0 1 0 0 1 0 1 NaN 2.0 2 2 MONDAY 16 0 0 0 0 0 0 XNA NaN 0.271941 0.715103 2.0 1.0 2.0 1.0 -371.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
307228 455936 0 Cash loans M N N 0 180000.000 239850.0 25578.0 225000.0 Family Working Secondary / secondary special Single / not married House / apartment 0.028663 -11682 -299 -6711.0 -2787 0.0 1 1 1 1 0 0 NaN 1.0 2 2 TUESDAY 10 0 1 1 0 1 1 Business Entity Type 1 NaN 0.358971 0.595456 0.0 0.0 0.0 0.0 -304.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307232 455941 0 Cash loans M Y Y 0 315000.000 1007761.5 42826.5 927000.0 Spouse, partner Pensioner Secondary / secondary special Married House / apartment 0.020246 -19065 365243 -8465.0 -985 3.0 1 0 0 1 0 0 NaN 2.0 3 3 SATURDAY 7 0 0 0 0 0 0 XNA NaN 0.471354 0.712155 4.0 0.0 4.0 0.0 -2602.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 3.0 1.0
307235 455944 0 Revolving loans F N Y 0 63000.000 180000.0 9000.0 180000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.009657 -23530 365243 -2210.0 -4239 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 11 0 0 0 0 0 0 XNA NaN 0.462352 0.634706 0.0 0.0 0.0 0.0 -618.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307241 455950 0 Cash loans F N Y 0 135000.000 1047771.0 37764.0 904500.0 Family Pensioner Secondary / secondary special Civil marriage House / apartment 0.022625 -20441 365243 -7007.0 -3656 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 13 0 0 0 0 0 0 XNA NaN 0.545936 0.656158 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
307242 455951 0 Cash loans M Y N 2 247500.000 1125000.0 50314.5 1125000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.028663 -16555 -5395 -7365.0 -6 14.0 1 1 0 1 0 0 NaN 4.0 2 2 THURSDAY 16 0 0 0 0 0 0 Housing 0.690567 0.540695 0.226347 2.0 0.0 2.0 0.0 -2582.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307243 455952 0 Cash loans F N Y 0 202500.000 247500.0 12037.5 247500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.019689 -18496 -3891 -2034.0 -2034 0.0 1 1 0 1 0 0 NaN 2.0 2 2 TUESDAY 16 0 0 0 0 0 0 Business Entity Type 1 NaN 0.629282 0.579727 4.0 0.0 4.0 0.0 -2133.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
307245 455954 0 Cash loans F N N 1 256500.000 1381500.0 48019.5 1381500.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.010556 -14013 -1365 -8025.0 -4126 0.0 1 1 0 1 0 0 NaN 3.0 3 3 FRIDAY 12 0 0 0 0 0 0 Business Entity Type 2 0.354213 0.316102 0.631355 0.0 0.0 0.0 0.0 -2660.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 9.0
307251 455968 0 Cash loans F N Y 1 135000.000 1024290.0 30078.0 855000.0 Unaccompanied Working Higher education Married House / apartment 0.022625 -13963 -2268 -3965.0 -3749 0.0 1 1 0 1 0 0 NaN 3.0 2 2 MONDAY 12 0 0 0 0 0 0 Other 0.417827 0.586267 0.560284 1.0 0.0 1.0 0.0 -844.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 5.0
307255 455972 0 Cash loans F N Y 0 189000.000 422451.0 16056.0 297000.0 Unaccompanied Pensioner Higher education Separated House / apartment 0.006008 -21124 365243 -7531.0 -4000 0.0 1 0 0 1 1 0 NaN 1.0 2 2 FRIDAY 9 0 0 0 0 0 0 XNA NaN 0.709917 0.529890 0.0 0.0 0.0 0.0 -468.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 7.0
307256 455973 1 Cash loans F N Y 0 58500.000 183384.0 14485.5 162000.0 Family Working Secondary / secondary special Married House / apartment 0.022625 -18720 -1084 -7274.0 -2262 0.0 1 1 1 1 0 0 NaN 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 Other 0.677925 0.506021 NaN 0.0 0.0 0.0 0.0 -320.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307258 455975 0 Cash loans F N Y 0 360000.000 673875.0 19309.5 562500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.008019 -23082 365243 -8946.0 -4089 0.0 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 15 0 0 0 0 0 0 XNA 0.827065 0.559952 0.612704 0.0 0.0 0.0 0.0 -1996.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307259 455976 0 Cash loans F Y Y 1 202500.000 1312110.0 55723.5 1125000.0 Unaccompanied Working Higher education Married House / apartment 0.010032 -16825 -1938 -9740.0 -368 16.0 1 1 0 1 0 0 NaN 3.0 2 2 MONDAY 6 0 0 0 0 0 0 Other 0.703616 0.624177 0.829750 1.0 1.0 1.0 1.0 -2468.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 1.0 1.0
307260 455977 0 Cash loans M N Y 0 112500.000 275040.0 10498.5 180000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.046220 -12323 -177 -6433.0 -4773 0.0 1 1 0 1 0 0 NaN 2.0 1 1 THURSDAY 18 0 0 0 0 0 0 Business Entity Type 3 NaN 0.689822 0.438281 2.0 0.0 2.0 0.0 -1656.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
307263 455980 0 Cash loans M N Y 0 166500.000 1149408.0 48699.0 985500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.004849 -23385 365243 -2749.0 -3416 0.0 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 XNA NaN 0.030889 0.517297 0.0 0.0 0.0 0.0 -1900.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 3.0
307269 455986 0 Cash loans F N N 0 112500.000 135000.0 7321.5 135000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.018634 -22061 365243 -12400.0 -5235 0.0 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 11 0 0 0 0 0 0 XNA 0.324561 0.548066 0.591977 0.0 0.0 0.0 0.0 -294.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
307273 455990 0 Cash loans F N Y 0 90000.000 260640.0 25906.5 225000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.011703 -14862 -1902 -6367.0 -4337 0.0 1 1 0 1 1 1 NaN 2.0 2 2 SATURDAY 11 0 0 0 0 1 1 Business Entity Type 3 0.739150 0.674789 0.706205 1.0 1.0 1.0 1.0 -326.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 0.0
307278 455995 0 Cash loans F N Y 0 117000.000 152820.0 12073.5 135000.0 Unaccompanied Commercial associate Secondary / secondary special Widow House / apartment 0.011703 -19367 -4126 -1117.0 -2833 0.0 1 1 0 1 0 0 NaN 1.0 2 2 MONDAY 10 0 0 0 0 1 1 Industry: type 11 NaN 0.673583 0.513694 1.0 1.0 1.0 1.0 -579.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
307283 456000 1 Cash loans M Y Y 0 130500.000 306306.0 13108.5 247500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.020713 -22430 365243 -9842.0 -2793 20.0 1 0 0 1 0 0 NaN 2.0 3 2 TUESDAY 6 0 0 0 0 0 0 XNA NaN 0.168086 0.275000 0.0 0.0 0.0 0.0 -556.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
307285 456002 1 Cash loans F N Y 0 76500.000 284400.0 13963.5 225000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.020246 -16597 -249 -7282.0 -150 0.0 1 1 0 1 0 0 NaN 1.0 3 3 SATURDAY 12 0 0 0 0 0 0 Transport: type 4 NaN 0.072944 0.176653 0.0 0.0 0.0 0.0 -36.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 3.0 1.0
307292 456015 0 Cash loans F Y Y 0 315000.000 704844.0 32791.5 630000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.022625 -16627 -2956 -5830.0 -153 1.0 1 1 0 1 1 0 NaN 2.0 2 2 MONDAY 16 0 0 0 0 1 1 Business Entity Type 3 NaN 0.393725 0.126898 0.0 0.0 0.0 0.0 -1474.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307296 456019 0 Cash loans M Y Y 1 157500.000 900000.0 50256.0 900000.0 Unaccompanied Pensioner Higher education Married House / apartment 0.005084 -17523 365243 -9330.0 -1066 3.0 1 0 0 1 1 0 NaN 3.0 2 2 THURSDAY 16 0 0 0 0 0 0 XNA 0.776483 0.733269 0.537070 0.0 0.0 0.0 0.0 -443.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 5.0
307297 456020 0 Cash loans F N Y 0 180000.000 1147500.0 59544.0 1147500.0 Children Pensioner Secondary / secondary special Married House / apartment 0.010643 -23047 365243 -3368.0 -4877 0.0 1 0 0 1 1 0 NaN 2.0 2 2 SATURDAY 15 0 0 0 0 0 0 XNA NaN 0.646109 0.771362 0.0 0.0 0.0 0.0 -2058.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307302 456025 0 Revolving loans F N Y 0 144000.000 180000.0 9000.0 180000.0 Family Working Higher education Single / not married House / apartment 0.004960 -20650 -10664 -11.0 -4211 0.0 1 1 0 1 0 0 NaN 1.0 2 2 SATURDAY 11 0 0 0 0 0 0 School 0.575790 0.577878 0.669057 0.0 0.0 0.0 0.0 -1218.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 1.0 0.0 0.0 0.0 2.0
307304 456027 0 Cash loans F N Y 0 117000.000 625356.0 20173.5 522000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.018801 -23694 365243 -7501.0 -4435 0.0 1 0 0 1 1 0 NaN 1.0 2 2 SATURDAY 8 0 0 0 0 0 0 XNA NaN 0.042862 0.554947 0.0 0.0 0.0 0.0 -742.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307307 456031 0 Cash loans M N N 0 270000.000 153000.0 14031.0 153000.0 Unaccompanied Working Higher education Single / not married With parents 0.014520 -10074 -601 -3941.0 -2736 0.0 1 1 1 1 1 0 NaN 1.0 2 2 THURSDAY 11 0 0 0 0 0 0 Transport: type 4 NaN 0.642003 NaN 1.0 0.0 1.0 0.0 -322.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
307310 456034 1 Cash loans M N Y 0 90000.000 490536.0 23989.5 405000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.018029 -22461 365243 -1660.0 -4687 0.0 1 0 0 1 0 0 NaN 2.0 3 3 TUESDAY 9 0 0 0 0 0 0 XNA NaN 0.005430 0.445396 0.0 0.0 0.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307311 456035 0 Cash loans M Y Y 2 180000.000 1027327.5 43654.5 945000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.002042 -16556 -3154 -3803.0 -106 6.0 1 1 0 1 0 0 NaN 4.0 3 3 FRIDAY 14 0 0 0 0 0 0 Trade: type 7 NaN 0.114563 NaN 2.0 0.0 1.0 0.0 -358.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307313 456037 0 Cash loans F N Y 0 202500.000 1075500.0 34825.5 1075500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.026392 -21120 365243 -257.0 -4121 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 11 0 0 0 0 0 0 XNA NaN 0.433607 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307314 456038 0 Revolving loans F N N 1 121500.000 382500.0 19125.0 382500.0 Unaccompanied Commercial associate Higher education Single / not married House / apartment 0.009175 -16584 -4513 -3466.0 -124 0.0 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 18 0 0 0 0 1 1 Business Entity Type 3 0.864657 0.730342 0.816092 1.0 1.0 1.0 0.0 -1451.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307318 456042 0 Cash loans F N N 0 60300.000 143910.0 14017.5 135000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.007305 -23277 365243 -11979.0 -4411 0.0 1 0 0 1 0 0 NaN 1.0 3 3 WEDNESDAY 6 0 0 0 0 0 0 XNA NaN 0.173023 0.312365 0.0 0.0 0.0 0.0 -2298.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307319 456043 0 Cash loans M Y N 2 202500.000 675000.0 34596.0 675000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.035792 -12463 -1026 -6272.0 -4142 21.0 1 1 0 1 0 1 NaN 4.0 2 2 THURSDAY 14 0 0 0 0 1 1 Business Entity Type 3 0.327762 0.613194 0.432962 0.0 0.0 0.0 0.0 -2707.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
307325 456049 0 Cash loans F N Y 0 99000.000 238500.0 17091.0 238500.0 Unaccompanied Pensioner Higher education Widow House / apartment 0.006008 -24864 365243 -7068.0 -4032 0.0 1 0 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 11 0 0 0 0 0 0 XNA 0.800134 0.683963 0.556727 1.0 0.0 1.0 0.0 -1192.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
307327 456051 0 Cash loans F N N 0 225000.000 406597.5 19557.0 351000.0 Unaccompanied Working Secondary / secondary special Separated House / apartment 0.024610 -20214 -2841 -14270.0 -3171 0.0 1 1 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 12 0 0 0 0 0 0 Services NaN 0.627490 NaN 4.0 0.0 4.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307331 456055 0 Cash loans F N Y 0 333000.000 1113840.0 44302.5 900000.0 Unaccompanied Working Higher education Civil marriage House / apartment 0.010032 -18519 -11084 -3208.0 -2052 0.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 6 0 0 0 0 0 0 Business Entity Type 2 NaN 0.441831 0.707699 2.0 2.0 2.0 2.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307333 456057 0 Cash loans M Y Y 0 112500.000 497520.0 39438.0 450000.0 Family Commercial associate Higher education Married House / apartment 0.009630 -19897 -1724 -10316.0 -3374 13.0 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 11 0 0 0 0 0 0 Business Entity Type 3 NaN 0.460010 0.707699 0.0 0.0 0.0 0.0 -597.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307337 456062 0 Cash loans F N Y 0 135000.000 1056447.0 31018.5 922500.0 Children Pensioner Secondary / secondary special Married House / apartment 0.004960 -22122 365243 -7997.0 -4703 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 14 0 0 0 0 0 0 XNA 0.793389 0.747837 0.746300 3.0 1.0 3.0 0.0 -747.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307338 456063 0 Cash loans F N N 0 112500.000 719860.5 48298.5 679500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.020713 -22449 365243 -4711.0 -4017 0.0 1 0 0 1 1 0 NaN 2.0 3 3 THURSDAY 9 0 0 0 0 0 0 XNA 0.932105 0.515015 0.531686 0.0 0.0 0.0 0.0 -2350.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
307341 456066 0 Cash loans F N Y 0 67500.000 454500.0 14661.0 454500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.024610 -13795 -1253 -4516.0 -4437 0.0 1 1 0 1 1 0 NaN 2.0 2 2 FRIDAY 11 0 0 0 0 0 0 Business Entity Type 3 NaN 0.602001 0.231439 2.0 1.0 2.0 1.0 -1397.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307342 456067 0 Cash loans M N Y 0 157500.000 1097676.0 32224.5 958500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.020246 -22720 365243 -14514.0 -3906 0.0 1 0 0 1 0 0 NaN 2.0 3 3 MONDAY 11 0 0 0 0 0 0 XNA NaN 0.501954 0.743559 4.0 1.0 3.0 1.0 -1138.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307343 456068 0 Cash loans F N Y 0 157500.000 766282.5 33885.0 661500.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.016612 -23108 365243 -4605.0 -640 0.0 1 0 0 1 0 0 NaN 1.0 2 2 FRIDAY 16 0 0 0 0 0 0 XNA NaN 0.150020 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307348 456073 0 Cash loans F N Y 0 135000.000 755190.0 52690.5 675000.0 Family Pensioner Secondary / secondary special Civil marriage House / apartment 0.007330 -22525 365243 -11142.0 -4635 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 12 0 0 0 0 0 0 XNA NaN 0.638503 0.733815 2.0 0.0 2.0 0.0 -271.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307350 456075 0 Cash loans M Y Y 0 112500.000 717003.0 21091.5 598500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.032561 -22732 365243 -8531.0 -4001 8.0 1 0 0 1 1 0 NaN 2.0 1 1 SATURDAY 12 0 0 0 0 0 0 XNA NaN 0.761364 0.821443 0.0 0.0 0.0 0.0 -1720.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 3.0
307352 456077 0 Cash loans F N Y 0 67500.000 143910.0 14364.0 135000.0 Unaccompanied Pensioner Secondary / secondary special Civil marriage House / apartment 0.030755 -22355 365243 -2200.0 -3765 0.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 10 0 0 0 0 0 0 XNA 0.702671 0.111986 0.641368 0.0 0.0 0.0 0.0 -734.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307353 456078 0 Cash loans F N Y 0 112500.000 390960.0 21339.0 337500.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.035792 -8573 -322 -1822.0 -1196 0.0 1 1 1 1 0 0 NaN 1.0 2 2 SUNDAY 10 0 0 0 0 0 0 Self-employed NaN 0.269471 NaN 1.0 0.0 1.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307361 456086 0 Cash loans F Y Y 0 92250.000 253737.0 16956.0 229500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.028663 -20822 365243 -4251.0 -4263 23.0 1 0 0 1 1 0 NaN 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA 0.748347 0.609208 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307362 456087 0 Cash loans F N Y 0 180000.000 270000.0 12717.0 270000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.026392 -11490 -883 -5623.0 -805 0.0 1 1 0 1 0 0 NaN 2.0 2 2 FRIDAY 16 0 0 0 0 0 0 Other NaN 0.704516 0.370650 1.0 1.0 1.0 1.0 -947.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
307363 456088 1 Cash loans F Y Y 0 29250.000 663093.0 21519.0 553500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.031329 -20086 365243 -2195.0 -2216 7.0 1 0 0 1 0 0 NaN 2.0 2 2 TUESDAY 12 0 0 0 0 0 0 XNA 0.791993 0.266520 0.360613 3.0 1.0 3.0 1.0 -1463.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 5.0
307369 456094 0 Cash loans M N Y 0 112500.000 1546020.0 42642.0 1350000.0 Spouse, partner Pensioner Secondary / secondary special Married House / apartment 0.003069 -23551 365243 -12243.0 -4242 0.0 1 0 0 1 0 0 NaN 2.0 3 3 TUESDAY 11 0 0 0 0 0 0 XNA NaN 0.662459 0.614414 1.0 0.0 1.0 0.0 -1392.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307370 456095 0 Cash loans F N Y 0 135000.000 986553.0 28975.5 823500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.009630 -19105 365243 -11791.0 -2662 0.0 1 0 0 1 0 0 NaN 2.0 2 2 SUNDAY 10 0 0 0 0 0 0 XNA NaN 0.285898 0.468660 5.0 0.0 5.0 0.0 -2218.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 6.0
307371 456096 0 Cash loans F Y Y 0 112500.000 728460.0 39676.5 675000.0 Family Commercial associate Secondary / secondary special Single / not married House / apartment 0.018801 -19945 -3781 -1028.0 -3473 8.0 1 1 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 Business Entity Type 1 NaN 0.572739 0.657784 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 2.0 0.0
307377 456102 1 Cash loans M N Y 0 67500.000 313438.5 20943.0 283500.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.031329 -10609 -235 -7404.0 -3253 0.0 1 1 0 1 0 0 NaN 1.0 2 2 SATURDAY 13 0 0 0 0 1 1 Business Entity Type 1 NaN 0.163187 NaN 9.0 1.0 9.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307386 456112 1 Cash loans F N Y 0 135000.000 221832.0 17653.5 175500.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.010147 -20492 365243 -11812.0 -1773 0.0 1 0 0 1 0 0 NaN 1.0 2 2 FRIDAY 16 0 0 0 0 0 0 XNA 0.786014 0.200589 0.176653 1.0 1.0 1.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 7.0
307387 456113 0 Cash loans M N Y 3 180000.000 1096020.0 56092.5 900000.0 Other_B Commercial associate Secondary / secondary special Civil marriage House / apartment 0.032561 -10426 -2056 -1780.0 -3092 0.0 1 1 0 1 1 0 NaN 5.0 1 1 SUNDAY 15 0 0 0 0 0 0 Government NaN NaN NaN 0.0 0.0 0.0 0.0 -1780.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307388 456117 0 Cash loans M Y N 1 67500.000 490536.0 23989.5 405000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.003813 -12183 -808 -106.0 -79 30.0 1 1 1 1 1 0 NaN 3.0 2 2 MONDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.379638 0.357649 NaN 0.0 0.0 0.0 0.0 -266.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307390 456121 0 Cash loans F N Y 0 81000.000 314100.0 15111.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.028663 -23737 365243 -2262.0 -4407 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 10 0 0 0 0 0 0 XNA NaN 0.312901 0.832785 0.0 0.0 0.0 0.0 -301.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307392 456125 0 Cash loans F N Y 0 315000.000 1391130.0 77809.5 1305000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.072508 -21746 365243 -4715.0 -4544 0.0 1 0 0 1 1 0 NaN 2.0 1 1 THURSDAY 15 0 0 0 0 0 0 XNA NaN 0.746573 0.515495 3.0 0.0 3.0 0.0 -1471.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307393 456126 0 Cash loans F Y Y 0 202500.000 544500.0 15921.0 544500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.010966 -21305 365243 -1229.0 -3502 7.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 10 0 0 0 0 0 0 XNA 0.732839 0.677059 0.379100 1.0 0.0 1.0 0.0 -1025.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 8.0
307394 456127 0 Cash loans M N N 0 157500.000 183384.0 19588.5 162000.0 Unaccompanied Working Secondary / secondary special Married Municipal apartment 0.018634 -13768 -2496 -1385.0 -3888 0.0 1 1 0 1 0 0 NaN 2.0 2 2 FRIDAY 11 0 0 0 0 0 0 Self-employed NaN 0.426249 0.465069 2.0 0.0 2.0 0.0 -842.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307397 456130 0 Cash loans F Y Y 0 202500.000 753840.0 22171.5 540000.0 Unaccompanied Working Lower secondary Married House / apartment 0.030755 -14109 -7499 -7119.0 -4349 28.0 1 1 0 1 0 0 NaN 2.0 2 2 TUESDAY 14 0 0 0 0 0 0 Industry: type 11 NaN 0.382095 0.754406 0.0 0.0 0.0 0.0 -1648.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307398 456131 0 Cash loans F N Y 0 69300.000 229500.0 8239.5 229500.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.014520 -22915 365243 -3613.0 -3877 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 9 0 0 0 0 0 0 XNA NaN 0.353855 0.484851 0.0 0.0 0.0 0.0 -1518.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 2.0 3.0
307401 456134 0 Cash loans F Y Y 0 135000.000 1718473.5 47385.0 1345500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.025164 -18980 365243 -245.0 -2513 9.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 8 0 0 0 0 0 0 XNA NaN 0.266520 0.357293 0.0 0.0 0.0 0.0 -1695.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
307402 456135 0 Revolving loans F N Y 0 157500.000 382500.0 19125.0 382500.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.028663 -22554 365243 -60.0 -4051 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 14 0 0 0 0 0 0 XNA NaN 0.165364 0.644679 NaN NaN NaN NaN -633.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0
307404 456137 0 Cash loans F N Y 0 190350.000 675000.0 21906.0 675000.0 Unaccompanied Pensioner Lower secondary Single / not married House / apartment 0.022800 -20839 365243 -13162.0 -4281 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 8 0 0 0 0 0 0 XNA NaN 0.690215 0.303146 0.0 0.0 0.0 0.0 -609.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307405 456138 0 Cash loans M N Y 0 49500.000 432661.5 26419.5 373500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.006629 -20411 365243 -9617.0 -2453 0.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 7 0 0 0 1 0 0 XNA NaN 0.310433 NaN 2.0 0.0 2.0 0.0 -391.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307406 456139 0 Cash loans F N Y 0 90000.000 203760.0 13747.5 180000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.019689 -23340 365243 -7902.0 -3982 0.0 1 0 0 1 1 0 NaN 1.0 2 2 MONDAY 14 0 0 0 0 0 0 XNA NaN 0.194540 0.484851 1.0 1.0 1.0 1.0 -1696.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307410 456143 1 Cash loans F N Y 0 85500.000 180000.0 8059.5 180000.0 Unaccompanied Working Secondary / secondary special Separated House / apartment 0.010966 -15520 -1592 -6253.0 -4306 0.0 1 1 1 1 0 0 NaN 1.0 2 2 FRIDAY 13 0 0 0 0 0 0 Other NaN 0.003404 0.286652 3.0 0.0 2.0 0.0 -1697.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307411 456144 0 Cash loans F N Y 0 65250.000 123637.5 8734.5 112500.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.007020 -14483 -976 -8617.0 -4389 0.0 1 1 1 1 1 1 NaN 2.0 2 2 WEDNESDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.712351 0.551659 NaN 4.0 0.0 4.0 0.0 -1723.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307412 456145 0 Cash loans F N N 0 162000.000 900000.0 29034.0 900000.0 Unaccompanied Commercial associate Higher education Married With parents 0.026392 -10592 -2189 -1412.0 -2208 0.0 1 1 0 1 1 0 NaN 2.0 2 2 MONDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.371031 0.705375 0.652897 0.0 0.0 0.0 0.0 -1519.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307417 456150 0 Cash loans F N N 0 90000.000 270000.0 16645.5 270000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.018209 -20768 365243 -12176.0 -4307 0.0 1 0 0 1 0 0 NaN 1.0 3 3 SUNDAY 7 0 0 0 0 0 0 XNA NaN 0.319830 0.617826 4.0 0.0 4.0 0.0 -1746.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0
307420 456153 0 Cash loans F N N 0 157500.000 1282500.0 48847.5 1282500.0 Unaccompanied Pensioner Higher education Civil marriage House / apartment 0.030755 -22672 365243 -8334.0 -4924 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 19 0 0 0 0 0 0 XNA NaN 0.710066 0.497469 0.0 0.0 0.0 0.0 -2054.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307421 456154 0 Cash loans M Y Y 0 157500.000 144000.0 9751.5 144000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010500 -18139 -688 -2899.0 -1697 1.0 1 1 0 1 0 0 NaN 2.0 3 3 SATURDAY 12 0 0 0 0 1 1 Industry: type 4 NaN 0.333707 NaN 1.0 0.0 1.0 0.0 -282.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
307422 456155 0 Cash loans F N Y 0 202500.000 1971072.0 68643.0 1800000.0 Family Pensioner Higher education Married House / apartment 0.008575 -22802 365243 -8689.0 -5049 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 14 0 0 0 0 0 0 XNA 0.724400 0.668457 0.738020 4.0 0.0 4.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307423 456156 0 Cash loans M N N 0 90000.000 119448.0 7632.0 94500.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.024610 -18324 -1127 -9807.0 -1855 0.0 1 1 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 17 0 0 0 0 0 0 Transport: type 4 0.323674 0.134254 0.644679 5.0 0.0 5.0 0.0 -1366.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0
307424 456157 0 Cash loans F N Y 0 193500.000 284400.0 16326.0 225000.0 Unaccompanied Pensioner Higher education Civil marriage House / apartment 0.019101 -23922 365243 -6338.0 -4139 0.0 1 0 0 1 0 0 NaN 2.0 2 2 SATURDAY 9 0 0 0 0 0 0 XNA NaN 0.715572 0.431192 0.0 0.0 0.0 0.0 -561.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 4.0 4.0
307426 456159 0 Cash loans F N Y 0 112500.000 518562.0 25078.5 463500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.019689 -21259 365243 -5305.0 -4213 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 10 0 0 0 0 0 0 XNA NaN 0.220484 0.387625 2.0 1.0 2.0 1.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 4.0
307428 456161 0 Cash loans F N N 0 270000.000 1262583.0 40860.0 1102500.0 Unaccompanied Working Higher education Single / not married House / apartment 0.025164 -15164 -4678 -325.0 -4267 0.0 1 1 1 1 1 0 NaN 1.0 2 2 FRIDAY 16 0 0 0 0 0 0 Other 0.662429 0.645418 0.510090 12.0 0.0 12.0 0.0 -1469.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0
307430 456163 0 Cash loans F N Y 0 135000.000 170640.0 11034.0 135000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.035792 -21755 365243 -2567.0 -5031 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 10 0 0 0 0 0 0 XNA 0.890056 0.355126 0.363945 0.0 0.0 0.0 0.0 -2562.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
307431 456164 0 Cash loans F N N 1 112500.000 334152.0 18256.5 270000.0 Unaccompanied Working Secondary / secondary special Single / not married With parents 0.022800 -8146 -1197 -2827.0 -813 0.0 1 1 1 1 0 0 NaN 2.0 2 2 WEDNESDAY 10 0 0 0 0 1 1 Business Entity Type 3 0.234345 0.203856 NaN 0.0 0.0 0.0 0.0 -1101.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307433 456171 1 Cash loans M N Y 0 50400.000 113760.0 7731.0 90000.0 Unaccompanied Pensioner Lower secondary Single / not married Municipal apartment 0.031329 -10873 365243 -4074.0 -2309 0.0 1 0 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 7 0 0 0 0 0 0 XNA 0.149808 0.182723 0.434733 0.0 0.0 0.0 0.0 -170.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0
307434 456172 0 Cash loans F Y Y 0 76500.000 163098.0 16015.5 153000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.018801 -21027 365243 -2653.0 -4509 10.0 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 11 0 0 0 0 0 0 XNA NaN 0.092283 0.739412 0.0 0.0 0.0 0.0 -1121.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307441 456179 0 Cash loans F N Y 0 126000.000 254700.0 24939.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.018209 -24857 365243 -12253.0 -4801 0.0 1 0 0 1 0 0 NaN 2.0 3 3 MONDAY 8 0 0 0 0 0 0 XNA NaN 0.500401 0.549597 0.0 0.0 0.0 0.0 -1582.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0
307443 456181 0 Cash loans F N N 0 76500.000 1240614.0 44559.0 1111500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.016612 -17060 365243 -4388.0 -609 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 16 0 0 0 0 0 0 XNA NaN 0.683457 0.574447 0.0 0.0 0.0 0.0 -105.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307444 456182 0 Revolving loans F N Y 2 90000.000 270000.0 13500.0 270000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.018634 -13959 -2190 -3932.0 -4562 0.0 1 1 0 1 0 0 NaN 4.0 2 2 TUESDAY 12 0 0 0 0 0 0 Self-employed 0.523651 0.452707 NaN 6.0 0.0 6.0 0.0 -414.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
307445 456183 0 Cash loans F Y Y 0 180000.000 990000.0 42075.0 990000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.010147 -21685 365243 -14150.0 -4784 30.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 9 0 0 0 0 0 0 XNA 0.851707 0.268981 0.396220 0.0 0.0 0.0 0.0 -344.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0
307447 456185 0 Cash loans F N Y 0 135000.000 528633.0 22527.0 472500.0 Family Working Secondary / secondary special Married House / apartment 0.019101 -11193 -4606 -2769.0 -2769 0.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 13 0 0 0 0 1 1 Trade: type 7 NaN 0.600160 0.621226 0.0 0.0 0.0 0.0 -1023.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 3.0
307450 456188 0 Cash loans F N Y 0 54000.000 315000.0 21924.0 315000.0 Unaccompanied Pensioner Secondary / secondary special Widow Municipal apartment 0.006207 -20362 365243 -9841.0 -3631 0.0 1 0 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 XNA 0.764561 0.312168 NaN 1.0 0.0 1.0 0.0 -2950.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
307452 456191 0 Cash loans F Y N 2 153000.000 1350000.0 46926.0 1350000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.030755 -13128 -397 -3964.0 -2745 14.0 1 1 1 1 1 0 NaN 4.0 2 2 THURSDAY 14 0 0 0 0 0 0 Restaurant 0.591136 0.541303 0.754406 0.0 0.0 0.0 0.0 -741.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 1.0
307463 456203 0 Cash loans F N Y 0 180000.000 247275.0 17338.5 225000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.016612 -24142 365243 -7108.0 -4111 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 14 0 0 0 0 0 0 XNA NaN 0.666924 0.728141 0.0 0.0 0.0 0.0 -1573.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0
307468 456208 0 Cash loans F N Y 1 135000.000 305955.0 21888.0 283500.0 Unaccompanied Working Higher education Civil marriage House / apartment 0.020246 -9844 -1266 -7511.0 -1053 0.0 1 1 0 1 0 0 NaN 3.0 3 3 THURSDAY 9 0 0 0 0 0 0 Industry: type 12 0.510609 0.240384 0.511892 2.0 0.0 2.0 0.0 -499.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0
307469 456209 0 Cash loans F N Y 0 202500.000 703728.0 29943.0 607500.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.031329 -22414 365243 -11976.0 -4171 0.0 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 15 0 0 0 0 0 0 XNA NaN 0.195625 0.360613 11.0 2.0 11.0 0.0 -1667.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0
307476 456216 0 Cash loans F N N 2 135000.000 1762110.0 48456.0 1575000.0 Unaccompanied Working Higher education Married House / apartment 0.019689 -13790 -1878 -3023.0 -1798 0.0 1 1 0 1 0 0 NaN 4.0 2 2 MONDAY 12 0 0 0 0 0 0 Other 0.629572 0.277728 0.771362 0.0 0.0 0.0 0.0 -2538.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
307483 456227 0 Cash loans F N Y 0 99000.000 247275.0 16479.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.007330 -24911 365243 -11211.0 -4213 0.0 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 12 0 0 0 0 0 0 XNA NaN 0.589906 0.520898 1.0 1.0 1.0 1.0 -1775.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0
307486 456230 0 Cash loans F Y Y 1 292500.000 355536.0 18283.5 270000.0 Unaccompanied Commercial associate Higher education Civil marriage House / apartment 0.072508 -16010 -1185 -5034.0 -4392 9.0 1 1 0 1 1 0 NaN 3.0 1 1 SATURDAY 17 0 0 0 0 0 0 Business Entity Type 2 NaN 0.661025 0.199771 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0
307487 456231 0 Cash loans M N Y 0 117000.000 1071909.0 31473.0 936000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.010147 -23125 365243 -5485.0 -4115 0.0 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 XNA NaN 0.307082 0.255332 0.0 0.0 0.0 0.0 -846.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 8.0
307500 456244 0 Cash loans F N Y 0 261000.000 1303812.0 35982.0 1138500.0 Unaccompanied Working Higher education Married House / apartment 0.031329 -20390 -5326 -157.0 -3906 0.0 1 1 0 1 0 1 NaN 2.0 2 2 FRIDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.896042 0.789389 0.337673 0.0 0.0 0.0 0.0 -1459.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 5.0
307505 456249 0 Cash loans F N Y 0 112500.000 225000.0 22050.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.022800 -24384 365243 -7369.0 -2357 0.0 1 0 0 1 1 0 NaN 1.0 2 2 MONDAY 15 0 0 0 0 0 0 XNA NaN 0.346391 0.742182 0.0 0.0 0.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 0.0
307507 456252 0 Cash loans F N Y 0 72000.000 269550.0 12001.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.025164 -20775 365243 -4388.0 -4090 0.0 1 0 0 1 1 0 NaN 1.0 2 2 MONDAY 8 0 0 0 0 0 0 XNA NaN 0.115992 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN

96391 rows × 75 columns

So we have lot of null values with occupation type, let check the percentage

In [122]:
app["OCCUPATION_TYPE"].isnull().sum()/len(app)*100
Out[122]:
31.345545362604916

So we have nearly 30% of the data missing, let check if they fall to which NAME INCOME TYPE

In [141]:
ap2  = app[app["OCCUPATION_TYPE"].isnull()][["NAME_INCOME_TYPE"]]
ap2
Out[141]:
NAME_INCOME_TYPE
8 Pensioner
11 Pensioner
23 Pensioner
28 State servant
30 Commercial associate
38 Pensioner
43 Pensioner
44 Working
46 Pensioner
52 Working
54 Pensioner
56 Pensioner
62 Pensioner
63 Working
76 Commercial associate
79 Pensioner
81 Pensioner
82 Working
84 Pensioner
88 Working
94 Commercial associate
97 Working
99 Pensioner
105 Pensioner
106 Pensioner
107 Working
108 Pensioner
109 Working
117 Pensioner
118 Pensioner
119 Working
125 Pensioner
135 Working
140 Pensioner
141 Working
143 Pensioner
145 Commercial associate
148 Working
150 Working
151 Working
156 Pensioner
157 Pensioner
158 Pensioner
164 Commercial associate
166 Commercial associate
171 Working
173 Pensioner
174 Pensioner
175 Pensioner
184 Commercial associate
185 Pensioner
191 Commercial associate
192 Commercial associate
200 Working
213 Pensioner
220 Pensioner
222 Pensioner
226 Pensioner
227 Pensioner
229 Commercial associate
233 Pensioner
237 Pensioner
239 Pensioner
240 Pensioner
247 Pensioner
252 Pensioner
263 Pensioner
264 Working
269 Working
270 Pensioner
276 Commercial associate
278 Commercial associate
283 Pensioner
284 Working
286 Working
287 Pensioner
290 Pensioner
302 Pensioner
303 Working
304 Pensioner
305 Pensioner
306 Pensioner
309 Working
313 Commercial associate
318 Pensioner
320 Working
322 Pensioner
324 Pensioner
327 Commercial associate
333 Commercial associate
342 Pensioner
344 Pensioner
347 Pensioner
348 Pensioner
349 Pensioner
352 Pensioner
359 Pensioner
364 Pensioner
378 Commercial associate
380 Pensioner
382 Pensioner
383 Pensioner
385 Pensioner
389 Working
390 Working
395 Pensioner
397 Commercial associate
400 Pensioner
404 Pensioner
406 Commercial associate
420 Pensioner
421 Pensioner
427 Working
428 Working
431 Working
432 Working
436 Pensioner
439 Working
442 Pensioner
444 Commercial associate
445 Pensioner
447 Pensioner
448 Pensioner
449 Pensioner
451 Pensioner
452 Working
454 Working
458 Working
473 Pensioner
475 Working
476 Pensioner
482 Pensioner
486 Pensioner
490 Pensioner
495 Pensioner
496 Working
498 Pensioner
500 Pensioner
504 Commercial associate
505 Pensioner
509 Pensioner
512 Working
513 Working
518 Working
524 Commercial associate
526 Pensioner
527 Pensioner
535 Commercial associate
539 Pensioner
545 Working
556 Pensioner
557 Pensioner
558 Working
561 Working
563 Working
566 Pensioner
568 Working
570 Pensioner
571 Working
580 Working
581 Pensioner
582 Working
583 Pensioner
584 Working
586 Pensioner
589 Pensioner
592 Working
602 Pensioner
608 Pensioner
610 Pensioner
613 Pensioner
614 Pensioner
617 Pensioner
618 Pensioner
624 Pensioner
626 Commercial associate
631 Pensioner
632 Working
635 Working
640 Working
646 Pensioner
650 Pensioner
652 Pensioner
656 Commercial associate
668 Pensioner
678 Pensioner
679 Pensioner
680 Working
683 Working
686 Pensioner
690 Commercial associate
691 Pensioner
699 Working
703 Commercial associate
704 Working
706 Pensioner
707 Pensioner
710 Pensioner
712 Working
713 Commercial associate
... ...
306903 Working
306904 Pensioner
306909 Pensioner
306915 Pensioner
306916 Working
306920 Working
306921 Pensioner
306926 Pensioner
306927 Pensioner
306929 Commercial associate
306933 Pensioner
306936 Commercial associate
306937 Pensioner
306940 Working
306942 Working
306943 Commercial associate
306952 Pensioner
306953 Commercial associate
306958 Pensioner
306959 Pensioner
306960 State servant
306962 Working
306965 Pensioner
306970 Pensioner
306974 Commercial associate
306979 Pensioner
306980 Pensioner
306982 State servant
306987 Pensioner
306988 Working
306992 Pensioner
306996 Working
307002 Commercial associate
307008 Pensioner
307010 Working
307012 Working
307018 Working
307020 Pensioner
307024 Commercial associate
307028 Pensioner
307029 Pensioner
307042 Working
307043 Pensioner
307046 Commercial associate
307053 Pensioner
307054 Pensioner
307058 Pensioner
307060 Working
307062 Pensioner
307069 Commercial associate
307070 Working
307076 Pensioner
307078 Commercial associate
307080 Pensioner
307081 Working
307085 Working
307087 Working
307088 Pensioner
307089 Pensioner
307093 Pensioner
307095 Pensioner
307099 Working
307106 Pensioner
307107 Pensioner
307109 State servant
307113 Working
307114 Working
307116 Pensioner
307119 Pensioner
307120 Pensioner
307128 Pensioner
307129 Pensioner
307134 Pensioner
307135 Pensioner
307141 Pensioner
307142 Pensioner
307146 Pensioner
307147 Working
307150 Working
307151 Working
307153 Pensioner
307156 Pensioner
307162 Working
307166 Pensioner
307167 Pensioner
307179 Pensioner
307182 Pensioner
307188 Pensioner
307190 Working
307193 Pensioner
307194 Working
307195 Pensioner
307197 Pensioner
307199 Commercial associate
307201 Pensioner
307203 Working
307207 Working
307208 State servant
307211 Pensioner
307212 Pensioner
307213 Commercial associate
307216 Pensioner
307221 Pensioner
307228 Working
307232 Pensioner
307235 Pensioner
307241 Pensioner
307242 Working
307243 Working
307245 Commercial associate
307251 Working
307255 Pensioner
307256 Working
307258 Pensioner
307259 Working
307260 Commercial associate
307263 Pensioner
307269 Pensioner
307273 Commercial associate
307278 Commercial associate
307283 Pensioner
307285 Working
307292 Commercial associate
307296 Pensioner
307297 Pensioner
307302 Working
307304 Pensioner
307307 Working
307310 Pensioner
307311 Working
307313 Pensioner
307314 Commercial associate
307318 Pensioner
307319 Commercial associate
307325 Pensioner
307327 Working
307331 Working
307333 Commercial associate
307337 Pensioner
307338 Pensioner
307341 Working
307342 Pensioner
307343 Pensioner
307348 Pensioner
307350 Pensioner
307352 Pensioner
307353 Working
307361 Pensioner
307362 Commercial associate
307363 Pensioner
307369 Pensioner
307370 Pensioner
307371 Commercial associate
307377 Working
307386 Pensioner
307387 Commercial associate
307388 Working
307390 Pensioner
307392 Pensioner
307393 Pensioner
307394 Working
307397 Working
307398 Pensioner
307401 Pensioner
307402 Pensioner
307404 Pensioner
307405 Pensioner
307406 Pensioner
307410 Working
307411 Commercial associate
307412 Commercial associate
307417 Pensioner
307420 Pensioner
307421 Working
307422 Pensioner
307423 Working
307424 Pensioner
307426 Pensioner
307428 Working
307430 Pensioner
307431 Working
307433 Pensioner
307434 Pensioner
307441 Pensioner
307443 Pensioner
307444 Working
307445 Pensioner
307447 Working
307450 Pensioner
307452 Working
307463 Pensioner
307468 Working
307469 Pensioner
307476 Working
307483 Pensioner
307486 Commercial associate
307487 Pensioner
307500 Working
307505 Pensioner
307507 Pensioner

96391 rows × 1 columns

In [142]:
ap2.NAME_INCOME_TYPE.value_counts()
Out[142]:
Pensioner               55357
Working                 24920
Commercial associate    12297
State servant            3787
Unemployed                 22
Student                     5
Businessman                 2
Maternity leave             1
Name: NAME_INCOME_TYPE, dtype: int64

As we have lot of "pensioners" in NAME_INCOME_TYPE for missing entries of Occupation type, we can impute the missing values with occupation type as "Retired/others", lets not impute the values as the numbers are high.

In [143]:
app.columns[app.isna().any()]
Out[143]:
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS', 'EXT_SOURCE_1',
       'EXT_SOURCE_2', 'EXT_SOURCE_3', 'OBS_30_CNT_SOCIAL_CIRCLE',
       'DEF_30_CNT_SOCIAL_CIRCLE', 'OBS_60_CNT_SOCIAL_CIRCLE',
       'DEF_60_CNT_SOCIAL_CIRCLE', 'DAYS_LAST_PHONE_CHANGE',
       'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
       'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
       'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR'],
      dtype='object')
In [144]:
app[app.CNT_FAM_MEMBERS.isnull()]
Out[144]:
SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE NAME_TYPE_SUITE NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL OCCUPATION_TYPE CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY WEEKDAY_APPR_PROCESS_START HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY ORGANIZATION_TYPE EXT_SOURCE_1 EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
41982 148605 0 Revolving loans M N Y 0 450000.0 675000.0 33750.0 0.0 Unaccompanied Commercial associate Lower secondary Unknown Municipal apartment 0.015221 -12396 -1161 -3265.0 -4489 0.0 1 1 1 1 1 0 Managers NaN 2 2 THURSDAY 15 0 1 1 0 1 1 Insurance 0.628564 0.700618 NaN 3.0 0.0 3.0 0.0 -876.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN
187348 317181 0 Revolving loans F N Y 0 202500.0 585000.0 29250.0 0.0 Unaccompanied Commercial associate Higher education Unknown House / apartment 0.031329 -12844 -232 -1597.0 -1571 0.0 1 1 0 1 0 0 Accountants NaN 2 2 FRIDAY 14 0 0 0 0 0 0 Business Entity Type 2 NaN 0.645168 0.670652 1.0 0.0 1.0 0.0 -654.0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0

as this is just a set of 2 rows of missing entries, we can drop these rows...

In [145]:
app.drop(labels =[41982,187348], axis =0, inplace =True)
In [146]:
app.CNT_FAM_MEMBERS.isnull().sum()
Out[146]:
0
In [147]:
app.columns[app.isna().any()]
Out[147]:
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'EXT_SOURCE_1', 'EXT_SOURCE_2',
       'EXT_SOURCE_3', 'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
       'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
       'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR',
       'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
       'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
       'AMT_REQ_CREDIT_BUREAU_YEAR'],
      dtype='object')

Now we still have lot of columns with null values , lets visualize and see by how much % we have those values

In [148]:
### Checking on NaN values in respoective columns
app.isnull().sum().sort_values(ascending= False)
Out[148]:
EXT_SOURCE_1                   173377
OCCUPATION_TYPE                 96391
EXT_SOURCE_3                    60964
AMT_REQ_CREDIT_BUREAU_YEAR      41518
AMT_REQ_CREDIT_BUREAU_MON       41518
AMT_REQ_CREDIT_BUREAU_WEEK      41518
AMT_REQ_CREDIT_BUREAU_DAY       41518
AMT_REQ_CREDIT_BUREAU_HOUR      41518
AMT_REQ_CREDIT_BUREAU_QRT       41518
DEF_60_CNT_SOCIAL_CIRCLE         1021
OBS_60_CNT_SOCIAL_CIRCLE         1021
DEF_30_CNT_SOCIAL_CIRCLE         1021
OBS_30_CNT_SOCIAL_CIRCLE         1021
EXT_SOURCE_2                      660
AMT_ANNUITY                        12
DAYS_LAST_PHONE_CHANGE              1
OWN_CAR_AGE                         0
FLAG_MOBIL                          0
DAYS_ID_PUBLISH                     0
FLAG_WORK_PHONE                     0
FLAG_CONT_MOBILE                    0
FLAG_PHONE                          0
FLAG_EMAIL                          0
FLAG_EMP_PHONE                      0
DAYS_BIRTH                          0
DAYS_REGISTRATION                   0
AMT_CREDIT                          0
TARGET                              0
NAME_CONTRACT_TYPE                  0
CODE_GENDER                         0
FLAG_OWN_CAR                        0
FLAG_OWN_REALTY                     0
CNT_CHILDREN                        0
AMT_INCOME_TOTAL                    0
AMT_GOODS_PRICE                     0
DAYS_EMPLOYED                       0
NAME_TYPE_SUITE                     0
NAME_INCOME_TYPE                    0
NAME_EDUCATION_TYPE                 0
NAME_FAMILY_STATUS                  0
NAME_HOUSING_TYPE                   0
REGION_POPULATION_RELATIVE          0
REGION_RATING_CLIENT                0
CNT_FAM_MEMBERS                     0
REG_CITY_NOT_LIVE_CITY              0
REGION_RATING_CLIENT_W_CITY         0
WEEKDAY_APPR_PROCESS_START          0
FLAG_DOCUMENT_21                    0
FLAG_DOCUMENT_20                    0
FLAG_DOCUMENT_19                    0
FLAG_DOCUMENT_18                    0
FLAG_DOCUMENT_17                    0
FLAG_DOCUMENT_16                    0
FLAG_DOCUMENT_15                    0
FLAG_DOCUMENT_14                    0
FLAG_DOCUMENT_13                    0
FLAG_DOCUMENT_12                    0
FLAG_DOCUMENT_11                    0
FLAG_DOCUMENT_10                    0
FLAG_DOCUMENT_9                     0
FLAG_DOCUMENT_8                     0
FLAG_DOCUMENT_7                     0
FLAG_DOCUMENT_6                     0
FLAG_DOCUMENT_5                     0
FLAG_DOCUMENT_4                     0
FLAG_DOCUMENT_3                     0
FLAG_DOCUMENT_2                     0
ORGANIZATION_TYPE                   0
LIVE_CITY_NOT_WORK_CITY             0
REG_CITY_NOT_WORK_CITY              0
LIVE_REGION_NOT_WORK_REGION         0
REG_REGION_NOT_WORK_REGION          0
REG_REGION_NOT_LIVE_REGION          0
HOUR_APPR_PROCESS_START             0
SK_ID_CURR                          0
dtype: int64
In [150]:
## Lets visualize the same
NaN_cols = app.isnull().sum().sort_values(ascending = False)
x = NaN_cols.head(10)
x
Out[150]:
EXT_SOURCE_1                  173377
OCCUPATION_TYPE                96391
EXT_SOURCE_3                   60964
AMT_REQ_CREDIT_BUREAU_YEAR     41518
AMT_REQ_CREDIT_BUREAU_MON      41518
AMT_REQ_CREDIT_BUREAU_WEEK     41518
AMT_REQ_CREDIT_BUREAU_DAY      41518
AMT_REQ_CREDIT_BUREAU_HOUR     41518
AMT_REQ_CREDIT_BUREAU_QRT      41518
DEF_60_CNT_SOCIAL_CIRCLE        1021
dtype: int64
In [154]:
sns.barplot(x.index, y = x/len(app)*100)
plt.title("NaN values in %")
plt.show();
In [155]:
NaN_cols.index[:5]
Out[155]:
Index(['EXT_SOURCE_1', 'OCCUPATION_TYPE', 'EXT_SOURCE_3',
       'AMT_REQ_CREDIT_BUREAU_YEAR', 'AMT_REQ_CREDIT_BUREAU_MON'],
      dtype='object')

May be we can remove the columns have NaN entries more than 40%, i.e. column with EXT_SOURCE_1

In [156]:
app.drop(labels = ["EXT_SOURCE_1"], axis =1 , inplace = True)
In [157]:
app.columns[app.isna().any()]
Out[157]:
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
       'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
       'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
       'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR',
       'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
       'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
       'AMT_REQ_CREDIT_BUREAU_YEAR'],
      dtype='object')
In [158]:
x1 = app.isnull().sum().sort_values(ascending= False)
x1
Out[158]:
OCCUPATION_TYPE                96391
EXT_SOURCE_3                   60964
AMT_REQ_CREDIT_BUREAU_YEAR     41518
AMT_REQ_CREDIT_BUREAU_MON      41518
AMT_REQ_CREDIT_BUREAU_WEEK     41518
AMT_REQ_CREDIT_BUREAU_DAY      41518
AMT_REQ_CREDIT_BUREAU_HOUR     41518
AMT_REQ_CREDIT_BUREAU_QRT      41518
DEF_60_CNT_SOCIAL_CIRCLE        1021
OBS_60_CNT_SOCIAL_CIRCLE        1021
DEF_30_CNT_SOCIAL_CIRCLE        1021
OBS_30_CNT_SOCIAL_CIRCLE        1021
EXT_SOURCE_2                     660
AMT_ANNUITY                       12
DAYS_LAST_PHONE_CHANGE             1
FLAG_EMP_PHONE                     0
OWN_CAR_AGE                        0
FLAG_MOBIL                         0
DAYS_REGISTRATION                  0
FLAG_WORK_PHONE                    0
FLAG_CONT_MOBILE                   0
FLAG_PHONE                         0
FLAG_EMAIL                         0
DAYS_ID_PUBLISH                    0
REGION_POPULATION_RELATIVE         0
DAYS_EMPLOYED                      0
DAYS_BIRTH                         0
TARGET                             0
NAME_CONTRACT_TYPE                 0
CODE_GENDER                        0
FLAG_OWN_CAR                       0
FLAG_OWN_REALTY                    0
CNT_CHILDREN                       0
AMT_INCOME_TOTAL                   0
AMT_CREDIT                         0
AMT_GOODS_PRICE                    0
NAME_TYPE_SUITE                    0
NAME_INCOME_TYPE                   0
NAME_EDUCATION_TYPE                0
NAME_FAMILY_STATUS                 0
NAME_HOUSING_TYPE                  0
REGION_RATING_CLIENT               0
CNT_FAM_MEMBERS                    0
LIVE_REGION_NOT_WORK_REGION        0
REGION_RATING_CLIENT_W_CITY        0
WEEKDAY_APPR_PROCESS_START         0
FLAG_DOCUMENT_21                   0
FLAG_DOCUMENT_20                   0
FLAG_DOCUMENT_19                   0
FLAG_DOCUMENT_18                   0
FLAG_DOCUMENT_17                   0
FLAG_DOCUMENT_16                   0
FLAG_DOCUMENT_15                   0
FLAG_DOCUMENT_14                   0
FLAG_DOCUMENT_13                   0
FLAG_DOCUMENT_12                   0
FLAG_DOCUMENT_11                   0
FLAG_DOCUMENT_10                   0
FLAG_DOCUMENT_9                    0
FLAG_DOCUMENT_8                    0
FLAG_DOCUMENT_7                    0
FLAG_DOCUMENT_6                    0
FLAG_DOCUMENT_5                    0
FLAG_DOCUMENT_4                    0
FLAG_DOCUMENT_3                    0
FLAG_DOCUMENT_2                    0
ORGANIZATION_TYPE                  0
LIVE_CITY_NOT_WORK_CITY            0
REG_CITY_NOT_WORK_CITY             0
REG_CITY_NOT_LIVE_CITY             0
REG_REGION_NOT_WORK_REGION         0
REG_REGION_NOT_LIVE_REGION         0
HOUR_APPR_PROCESS_START            0
SK_ID_CURR                         0
dtype: int64
In [159]:
app.columns[app.isna().any()]
Out[159]:
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
       'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
       'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
       'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR',
       'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
       'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
       'AMT_REQ_CREDIT_BUREAU_YEAR'],
      dtype='object')
In [161]:
app.filter(['AMT_REQ_CREDIT_BUREAU_HOUR',
       'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
       'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
       'AMT_REQ_CREDIT_BUREAU_YEAR']).mode()
Out[161]:
AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
0 0.0 0.0 0.0 0.0 0.0 0.0

As we can see the above columns could be imputed with mode as they refer to Number of enquiries to Credit Bureau about the client.

In [162]:
### we can also use user defined function for imputation
def mode_imp(df, col):
    return df[col].fillna(value = df[col].mode(), inplace = True)
In [166]:
app.isnull().sum().sort_values(ascending = False)
Out[166]:
OCCUPATION_TYPE                96391
EXT_SOURCE_3                   60964
AMT_REQ_CREDIT_BUREAU_YEAR     41518
AMT_REQ_CREDIT_BUREAU_MON      41518
AMT_REQ_CREDIT_BUREAU_WEEK     41518
AMT_REQ_CREDIT_BUREAU_DAY      41518
AMT_REQ_CREDIT_BUREAU_HOUR     41518
AMT_REQ_CREDIT_BUREAU_QRT      41518
DEF_60_CNT_SOCIAL_CIRCLE        1021
OBS_60_CNT_SOCIAL_CIRCLE        1021
DEF_30_CNT_SOCIAL_CIRCLE        1021
OBS_30_CNT_SOCIAL_CIRCLE        1021
EXT_SOURCE_2                     660
AMT_ANNUITY                       12
DAYS_LAST_PHONE_CHANGE             1
FLAG_EMP_PHONE                     0
OWN_CAR_AGE                        0
FLAG_MOBIL                         0
DAYS_REGISTRATION                  0
FLAG_WORK_PHONE                    0
FLAG_CONT_MOBILE                   0
FLAG_PHONE                         0
FLAG_EMAIL                         0
DAYS_ID_PUBLISH                    0
REGION_POPULATION_RELATIVE         0
DAYS_EMPLOYED                      0
DAYS_BIRTH                         0
TARGET                             0
NAME_CONTRACT_TYPE                 0
CODE_GENDER                        0
FLAG_OWN_CAR                       0
FLAG_OWN_REALTY                    0
CNT_CHILDREN                       0
AMT_INCOME_TOTAL                   0
AMT_CREDIT                         0
AMT_GOODS_PRICE                    0
NAME_TYPE_SUITE                    0
NAME_INCOME_TYPE                   0
NAME_EDUCATION_TYPE                0
NAME_FAMILY_STATUS                 0
NAME_HOUSING_TYPE                  0
REGION_RATING_CLIENT               0
CNT_FAM_MEMBERS                    0
LIVE_REGION_NOT_WORK_REGION        0
REGION_RATING_CLIENT_W_CITY        0
WEEKDAY_APPR_PROCESS_START         0
FLAG_DOCUMENT_21                   0
FLAG_DOCUMENT_20                   0
FLAG_DOCUMENT_19                   0
FLAG_DOCUMENT_18                   0
FLAG_DOCUMENT_17                   0
FLAG_DOCUMENT_16                   0
FLAG_DOCUMENT_15                   0
FLAG_DOCUMENT_14                   0
FLAG_DOCUMENT_13                   0
FLAG_DOCUMENT_12                   0
FLAG_DOCUMENT_11                   0
FLAG_DOCUMENT_10                   0
FLAG_DOCUMENT_9                    0
FLAG_DOCUMENT_8                    0
FLAG_DOCUMENT_7                    0
FLAG_DOCUMENT_6                    0
FLAG_DOCUMENT_5                    0
FLAG_DOCUMENT_4                    0
FLAG_DOCUMENT_3                    0
FLAG_DOCUMENT_2                    0
ORGANIZATION_TYPE                  0
LIVE_CITY_NOT_WORK_CITY            0
REG_CITY_NOT_WORK_CITY             0
REG_CITY_NOT_LIVE_CITY             0
REG_REGION_NOT_WORK_REGION         0
REG_REGION_NOT_LIVE_REGION         0
HOUR_APPR_PROCESS_START            0
SK_ID_CURR                         0
dtype: int64
In [167]:
cols = ['EXT_SOURCE_2',
       'EXT_SOURCE_3', 'OBS_30_CNT_SOCIAL_CIRCLE',
       'DEF_30_CNT_SOCIAL_CIRCLE', 'OBS_60_CNT_SOCIAL_CIRCLE',
       'DEF_60_CNT_SOCIAL_CIRCLE']
app[cols].mode()
Out[167]:
EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE
0 0.285898 0.7463 0.0 0.0 0.0 0.0

As we know that the data of number of days past due(DPD) for the clients social surroundings is just 0.3% of missing data, here also we can go for mode imputation for this columns

In [240]:
mode_imp(app, "OBS_30_CNT_SOCIAL_CIRCLE")
In [258]:
### we can also use user defined function for imputation
def mode_imp(df, col):
    df[col].fillna(value = df[col].mode()[0], inplace = True)
In [168]:
app.isnull().sum()
Out[168]:
SK_ID_CURR                         0
TARGET                             0
NAME_CONTRACT_TYPE                 0
CODE_GENDER                        0
FLAG_OWN_CAR                       0
FLAG_OWN_REALTY                    0
CNT_CHILDREN                       0
AMT_INCOME_TOTAL                   0
AMT_CREDIT                         0
AMT_ANNUITY                       12
AMT_GOODS_PRICE                    0
NAME_TYPE_SUITE                    0
NAME_INCOME_TYPE                   0
NAME_EDUCATION_TYPE                0
NAME_FAMILY_STATUS                 0
NAME_HOUSING_TYPE                  0
REGION_POPULATION_RELATIVE         0
DAYS_BIRTH                         0
DAYS_EMPLOYED                      0
DAYS_REGISTRATION                  0
DAYS_ID_PUBLISH                    0
OWN_CAR_AGE                        0
FLAG_MOBIL                         0
FLAG_EMP_PHONE                     0
FLAG_WORK_PHONE                    0
FLAG_CONT_MOBILE                   0
FLAG_PHONE                         0
FLAG_EMAIL                         0
OCCUPATION_TYPE                96391
CNT_FAM_MEMBERS                    0
REGION_RATING_CLIENT               0
REGION_RATING_CLIENT_W_CITY        0
WEEKDAY_APPR_PROCESS_START         0
HOUR_APPR_PROCESS_START            0
REG_REGION_NOT_LIVE_REGION         0
REG_REGION_NOT_WORK_REGION         0
LIVE_REGION_NOT_WORK_REGION        0
REG_CITY_NOT_LIVE_CITY             0
REG_CITY_NOT_WORK_CITY             0
LIVE_CITY_NOT_WORK_CITY            0
ORGANIZATION_TYPE                  0
EXT_SOURCE_2                     660
EXT_SOURCE_3                   60964
OBS_30_CNT_SOCIAL_CIRCLE        1021
DEF_30_CNT_SOCIAL_CIRCLE        1021
OBS_60_CNT_SOCIAL_CIRCLE        1021
DEF_60_CNT_SOCIAL_CIRCLE        1021
DAYS_LAST_PHONE_CHANGE             1
FLAG_DOCUMENT_2                    0
FLAG_DOCUMENT_3                    0
FLAG_DOCUMENT_4                    0
FLAG_DOCUMENT_5                    0
FLAG_DOCUMENT_6                    0
FLAG_DOCUMENT_7                    0
FLAG_DOCUMENT_8                    0
FLAG_DOCUMENT_9                    0
FLAG_DOCUMENT_10                   0
FLAG_DOCUMENT_11                   0
FLAG_DOCUMENT_12                   0
FLAG_DOCUMENT_13                   0
FLAG_DOCUMENT_14                   0
FLAG_DOCUMENT_15                   0
FLAG_DOCUMENT_16                   0
FLAG_DOCUMENT_17                   0
FLAG_DOCUMENT_18                   0
FLAG_DOCUMENT_19                   0
FLAG_DOCUMENT_20                   0
FLAG_DOCUMENT_21                   0
AMT_REQ_CREDIT_BUREAU_HOUR     41518
AMT_REQ_CREDIT_BUREAU_DAY      41518
AMT_REQ_CREDIT_BUREAU_WEEK     41518
AMT_REQ_CREDIT_BUREAU_MON      41518
AMT_REQ_CREDIT_BUREAU_QRT      41518
AMT_REQ_CREDIT_BUREAU_YEAR     41518
dtype: int64
In [169]:
missin_cols = ['EXT_SOURCE_2', 'EXT_SOURCE_3']
app.filter(missin_cols).isnull().sum()/len(app)
Out[169]:
EXT_SOURCE_2    0.002146
EXT_SOURCE_3    0.198251
dtype: float64
In [170]:
app["EXT_SOURCE_3"].mean(),app["EXT_SOURCE_3"].median()
Out[170]:
(0.5108522580271521, 0.5352762504724826)

With respect to Normalized score from external source, imputation can be challeging as SOURCE_3 has 20% of the data, which we cannot drop those rows however we can impute them with median value as

  • The median is better suited for skewed distributions to derive at central tendency since it is much more robust and sensible.

Imputation is not done as it is not necessary

In [171]:
## Finally , we only have these columns with missing entries
app.columns[app.isna().any()]
Out[171]:
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
       'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
       'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
       'DAYS_LAST_PHONE_CHANGE', 'AMT_REQ_CREDIT_BUREAU_HOUR',
       'AMT_REQ_CREDIT_BUREAU_DAY', 'AMT_REQ_CREDIT_BUREAU_WEEK',
       'AMT_REQ_CREDIT_BUREAU_MON', 'AMT_REQ_CREDIT_BUREAU_QRT',
       'AMT_REQ_CREDIT_BUREAU_YEAR'],
      dtype='object')
In [172]:
## As the % is less for both of these columns around 0.1-0.2% , we can drop these rows of entries
app[app["DAYS_LAST_PHONE_CHANGE"].isnull()]
Out[172]:
SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE NAME_TYPE_SUITE NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL OCCUPATION_TYPE CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY WEEKDAY_APPR_PROCESS_START HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY ORGANIZATION_TYPE EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
15709 118330 0 Cash loans M Y Y 0 126000.0 278613.0 25911.0 252000.0 Unaccompanied Working Incomplete higher Married House / apartment 0.010643 -8574 -293 -4790.0 -1075 21.0 0 1 0 1 0 0 NaN 2.0 2 2 FRIDAY 13 0 0 0 0 0 0 Trade: type 3 NaN NaN 0.0 0.0 0.0 0.0 NaN 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 NaN NaN NaN NaN NaN NaN
In [173]:
app.drop(labels = [15709], axis =0, inplace = True)
In [174]:
app.columns[app.isna().any()]
Out[174]:
Index(['AMT_ANNUITY', 'OCCUPATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
       'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
       'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
       'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
       'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
       'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR'],
      dtype='object')
In [175]:
app.EXT_SOURCE_2.mean(), app.EXT_SOURCE_2.median(), app.EXT_SOURCE_2.mode()
app.EXT_SOURCE_2.isnull().sum()
Out[175]:
659

Now we have dropped some rows/columns and imputed some rows/columns understanding the data, now there are some missing entries that's not necessary for imputation, lets explore the data for any errors , standardization and visualize it clearly...

In [176]:
app.columns
Out[176]:
Index(['SK_ID_CURR', 'TARGET', 'NAME_CONTRACT_TYPE', 'CODE_GENDER',
       'FLAG_OWN_CAR', 'FLAG_OWN_REALTY', 'CNT_CHILDREN', 'AMT_INCOME_TOTAL',
       'AMT_CREDIT', 'AMT_ANNUITY', 'AMT_GOODS_PRICE', 'NAME_TYPE_SUITE',
       'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE', 'NAME_FAMILY_STATUS',
       'NAME_HOUSING_TYPE', 'REGION_POPULATION_RELATIVE', 'DAYS_BIRTH',
       'DAYS_EMPLOYED', 'DAYS_REGISTRATION', 'DAYS_ID_PUBLISH', 'OWN_CAR_AGE',
       'FLAG_MOBIL', 'FLAG_EMP_PHONE', 'FLAG_WORK_PHONE', 'FLAG_CONT_MOBILE',
       'FLAG_PHONE', 'FLAG_EMAIL', 'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS',
       'REGION_RATING_CLIENT', 'REGION_RATING_CLIENT_W_CITY',
       'WEEKDAY_APPR_PROCESS_START', 'HOUR_APPR_PROCESS_START',
       'REG_REGION_NOT_LIVE_REGION', 'REG_REGION_NOT_WORK_REGION',
       'LIVE_REGION_NOT_WORK_REGION', 'REG_CITY_NOT_LIVE_CITY',
       'REG_CITY_NOT_WORK_CITY', 'LIVE_CITY_NOT_WORK_CITY',
       'ORGANIZATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
       'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
       'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
       'DAYS_LAST_PHONE_CHANGE', 'FLAG_DOCUMENT_2', 'FLAG_DOCUMENT_3',
       'FLAG_DOCUMENT_4', 'FLAG_DOCUMENT_5', 'FLAG_DOCUMENT_6',
       'FLAG_DOCUMENT_7', 'FLAG_DOCUMENT_8', 'FLAG_DOCUMENT_9',
       'FLAG_DOCUMENT_10', 'FLAG_DOCUMENT_11', 'FLAG_DOCUMENT_12',
       'FLAG_DOCUMENT_13', 'FLAG_DOCUMENT_14', 'FLAG_DOCUMENT_15',
       'FLAG_DOCUMENT_16', 'FLAG_DOCUMENT_17', 'FLAG_DOCUMENT_18',
       'FLAG_DOCUMENT_19', 'FLAG_DOCUMENT_20', 'FLAG_DOCUMENT_21',
       'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
       'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
       'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR'],
      dtype='object')
In [177]:
### Lets understand the statistics of the data after overcoming NaN values
app.describe()
Out[177]:
SK_ID_CURR TARGET CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
count 307508.000000 307508.00000 307508.000000 3.075080e+05 3.075080e+05 307496.000000 3.075080e+05 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.0 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 3.068490e+05 246545.000000 306487.000000 306487.000000 306487.000000 306487.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.00000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 307508.000000 265991.000000 265991.000000 265991.000000 265991.000000 265991.000000 265991.000000
mean 278181.332947 0.08073 0.417056 1.687970e+05 5.990268e+05 27108.549241 5.379139e+05 0.020868 -16037.041560 63815.673956 -4986.137584 -2994.208382 4.101851 1.0 0.819888 0.199367 0.998133 0.281066 0.056720 2.152666 2.052464 2.031521 12.063400 0.015144 0.050766 0.040656 0.078174 0.230453 0.179553 5.143916e-01 0.510852 1.422246 0.143422 1.405293 0.100050 -962.860075 0.000042 0.710030 0.000081 0.015112 0.088056 0.000189 0.081373 0.003896 0.000023 0.003912 0.000007 0.003525 0.002937 0.00121 0.009928 0.000267 0.008127 0.000595 0.000507 0.000335 0.006402 0.007000 0.034362 0.267396 0.265475 1.899978
std 102789.982905 0.27242 0.722124 2.371237e+05 4.024923e+05 14493.802393 3.696327e+05 0.013831 4363.980429 141276.312548 3522.896819 1509.449226 9.009500 0.0 0.384282 0.399525 0.043164 0.449520 0.231308 0.910683 0.509036 0.502739 3.265842 0.122127 0.219520 0.197492 0.268445 0.421123 0.383815 1.910603e-01 0.194844 2.400997 0.446700 2.379812 0.362292 826.810973 0.006502 0.453749 0.009016 0.121998 0.283377 0.013732 0.273408 0.062295 0.004771 0.062424 0.002550 0.059268 0.054110 0.03476 0.099145 0.016328 0.089781 0.024388 0.022518 0.018299 0.083849 0.110758 0.204685 0.916004 0.794057 1.869298
min 100002.000000 0.00000 0.000000 2.565000e+04 4.500000e+04 1615.500000 0.000000e+00 0.000290 -25229.000000 -17912.000000 -24672.000000 -7197.000000 0.000000 1.0 0.000000 0.000000 0.000000 0.000000 0.000000 1.000000 1.000000 1.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 8.173617e-08 0.000527 0.000000 0.000000 0.000000 0.000000 -4292.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
25% 189146.750000 0.00000 0.000000 1.125000e+05 2.700000e+05 16524.000000 2.385000e+05 0.010006 -19682.000000 -2760.000000 -7480.000000 -4299.000000 0.000000 1.0 1.000000 0.000000 1.000000 0.000000 0.000000 2.000000 2.000000 2.000000 10.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 3.924574e-01 0.370650 0.000000 0.000000 0.000000 0.000000 -1570.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
50% 278202.500000 0.00000 0.000000 1.471500e+05 5.135310e+05 24903.000000 4.500000e+05 0.018850 -15750.000000 -1214.000000 -4504.000000 -3254.000000 0.000000 1.0 1.000000 0.000000 1.000000 0.000000 0.000000 2.000000 2.000000 2.000000 12.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 5.659614e-01 0.535276 0.000000 0.000000 0.000000 0.000000 -757.000000 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 1.000000
75% 367143.250000 0.00000 1.000000 2.025000e+05 8.086500e+05 34596.000000 6.795000e+05 0.028663 -12413.000000 -289.000000 -2010.000000 -1720.000000 5.000000 1.0 1.000000 0.000000 1.000000 1.000000 0.000000 3.000000 2.000000 2.000000 14.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 6.636171e-01 0.669057 2.000000 0.000000 2.000000 0.000000 -274.000000 0.000000 1.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.00000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 3.000000
max 456255.000000 1.00000 19.000000 1.170000e+08 4.050000e+06 258025.500000 4.050000e+06 0.072508 -7489.000000 365243.000000 0.000000 0.000000 91.000000 1.0 1.000000 1.000000 1.000000 1.000000 1.000000 20.000000 3.000000 3.000000 23.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 8.549997e-01 0.896010 348.000000 34.000000 344.000000 24.000000 0.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 1.00000 1.000000 1.000000 1.000000 1.000000 1.000000 1.000000 4.000000 9.000000 8.000000 27.000000 261.000000 25.000000

It appears like we have data of certain columns with negative values, we have to correct these errors

In [178]:
app.shape
Out[178]:
(307508, 74)
In [179]:
## we will identify using comprehension
err_cols  = [c for c in app.columns if c.startswith('DAYS')]
err_cols
Out[179]:
['DAYS_BIRTH',
 'DAYS_EMPLOYED',
 'DAYS_REGISTRATION',
 'DAYS_ID_PUBLISH',
 'DAYS_LAST_PHONE_CHANGE']
In [180]:
err_cols = ['DAYS_BIRTH','DAYS_EMPLOYED', 'DAYS_REGISTRATION', 'DAYS_ID_PUBLISH']
In [181]:
### We will convert them to absolute values
app[err_cols] = abs(app[err_cols])
In [182]:
app[err_cols].describe()
Out[182]:
DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH
count 307508.000000 307508.000000 307508.000000 307508.000000
mean 16037.041560 67725.397378 4986.137584 2994.208382
std 4363.980429 139444.274200 3522.896819 1509.449226
min 7489.000000 0.000000 0.000000 0.000000
25% 12413.000000 933.000000 2010.000000 1720.000000
50% 15750.000000 2219.000000 4504.000000 3254.000000
75% 19682.000000 5707.000000 7480.000000 4299.000000
max 25229.000000 365243.000000 24672.000000 7197.000000
In [183]:
### Now these are the columns with object datatypes
app.select_dtypes("object").columns
Out[183]:
Index(['NAME_CONTRACT_TYPE', 'CODE_GENDER', 'FLAG_OWN_CAR', 'FLAG_OWN_REALTY',
       'NAME_TYPE_SUITE', 'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE',
       'NAME_FAMILY_STATUS', 'NAME_HOUSING_TYPE', 'OCCUPATION_TYPE',
       'WEEKDAY_APPR_PROCESS_START', 'ORGANIZATION_TYPE'],
      dtype='object')

Lets analyse the data and perform distinct analysis for the variables based on data types

In [184]:
loan_per = app.NAME_CONTRACT_TYPE.value_counts()/len(app)*100
loan_per
Out[184]:
Cash loans         90.479272
Revolving loans     9.520728
Name: NAME_CONTRACT_TYPE, dtype: float64

As we can see most of loan processed data is for cash loans (90%) relative Revolving loans (9.5%)

In [185]:
app["TARGET"].value_counts()/len(app)*100
Out[185]:
0    91.927039
1     8.072961
Name: TARGET, dtype: float64
In [191]:
sns.barplot(x = 'TARGET', y = app['TARGET'].value_counts(), data = app, ci = None)
plt.show();
In [192]:
app["TARGET"].value_counts(normalize = True)
Out[192]:
0    0.91927
1    0.08073
Name: TARGET, dtype: float64

As we can observe the client with solid payment issues are around 8% rest of the 92% are repaying well, there are imbalances may be we will understand why certain people are having payment issues by separating them into another dataframe

In [2]:
### Saving the corrected file copy so that , we need not run all the cells above to perform data_anaysis
app.to_csv('rev1_app.csv', index=False)
---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-2-0854615f4f63> in <module>
      1 ### Saving the corrected file copy so that , we need not run all the cells above to perform data_anaysis
----> 2 app.to_csv('rev1_app.csv', index=False)

NameError: name 'app' is not defined
In [2]:
app1 = pd.read_csv("rev1_app.csv")
app1.head()
Out[2]:
SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY ... FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
0 100002 1 Cash loans M N Y 0 202500.0 406597.5 24700.5 ... 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
1 100003 0 Cash loans F N N 0 270000.0 1293502.5 35698.5 ... 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
2 100004 0 Revolving loans M Y Y 0 67500.0 135000.0 6750.0 ... 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0
3 100006 0 Cash loans F N Y 0 135000.0 312682.5 29686.5 ... 0 0 0 0 NaN NaN NaN NaN NaN NaN
4 100007 0 Cash loans M N Y 0 121500.0 513000.0 21865.5 ... 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0

5 rows × 74 columns

In [3]:
pd.set_option('display.max_columns', 400)
pd.set_option('display.max_rows', 400)
In [4]:
app1.select_dtypes("object").columns
Out[4]:
Index(['NAME_CONTRACT_TYPE', 'CODE_GENDER', 'FLAG_OWN_CAR', 'FLAG_OWN_REALTY',
       'NAME_TYPE_SUITE', 'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE',
       'NAME_FAMILY_STATUS', 'NAME_HOUSING_TYPE', 'OCCUPATION_TYPE',
       'WEEKDAY_APPR_PROCESS_START', 'ORGANIZATION_TYPE'],
      dtype='object')
In [5]:
loan_per = app1.NAME_CONTRACT_TYPE.value_counts()/len(app1)*100
loan_per
Out[5]:
Cash loans         90.479272
Revolving loans     9.520728
Name: NAME_CONTRACT_TYPE, dtype: float64
In [6]:
sns.set(font_scale=1.4)
loan_per.plot(kind='barh', figsize=(7, 6), rot=0)
plt.xlabel("Loan type", labelpad=12)
plt.ylabel("Loan counts", labelpad=12)
plt.title("Loans processed", y=1.02);

Most of the loans are sponsored for cash loans (90%) and 8% for Revolving loans

In [7]:
app1.CODE_GENDER.value_counts()
Out[7]:
F      202447
M      105057
XNA         4
Name: CODE_GENDER, dtype: int64
In [8]:
app1.loc[app1.CODE_GENDER == "XNA"]
Out[8]:
SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE NAME_TYPE_SUITE NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL OCCUPATION_TYPE CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY WEEKDAY_APPR_PROCESS_START HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY ORGANIZATION_TYPE EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR
35656 141289 0 Revolving loans XNA Y Y 0 207000.0 382500.0 19125.0 337500.0 Unaccompanied Working Secondary / secondary special Married Municipal apartment 0.020713 20232.0 10044.0 10024.0 3537.0 13.0 1 1 1 1 1 0 NaN 2.0 3 3 TUESDAY 10 0 0 0 0 0 0 Business Entity Type 1 0.295998 0.461482 0.0 0.0 0.0 0.0 -286.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0
38565 144669 0 Revolving loans XNA N Y 2 157500.0 270000.0 13500.0 225000.0 Family Working Secondary / secondary special Married House / apartment 0.026392 13717.0 2797.0 2241.0 4659.0 0.0 1 1 1 1 1 0 Low-skill Laborers 4.0 2 2 FRIDAY 16 0 0 0 0 0 0 Industry: type 3 0.709205 0.310818 0.0 0.0 0.0 0.0 -493.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 3.0 0.0 4.0
83380 196708 0 Revolving loans XNA N Y 1 135000.0 405000.0 20250.0 225000.0 Unaccompanied Working Higher education Married House / apartment 0.035792 10647.0 1228.0 183.0 1671.0 0.0 1 1 1 1 1 0 Core staff 3.0 2 2 THURSDAY 15 0 0 0 0 0 0 Kindergarten 0.659185 0.076984 7.0 1.0 7.0 1.0 -851.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0
189637 319880 0 Revolving loans XNA Y Y 0 247500.0 540000.0 27000.0 900000.0 Unaccompanied Commercial associate Incomplete higher Civil marriage House / apartment 0.035792 9649.0 2293.0 4099.0 2326.0 8.0 1 1 1 1 1 0 NaN 2.0 2 2 FRIDAY 15 0 0 0 0 0 0 Medicine 0.658620 0.360613 10.0 4.0 10.0 4.0 -1681.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 6.0

Based on column CODE_GENDER, we can drop the rows as the data is 'XNA' i.e may be the description is Indeterminate/Intersex/Unspecified.

In [9]:
app1["CODE_GENDER"].drop(labels =[35656,38565,83380,189637], axis =0, inplace = True)
In [10]:
app1.CODE_GENDER.value_counts(), app1.shape
Out[10]:
(F    202447
 M    105057
 Name: CODE_GENDER, dtype: int64, (307508, 74))
In [11]:
sns.set(font_scale=1.5)
app1["CODE_GENDER"].value_counts().plot(kind='bar', figsize=(8, 6), rot=0)
plt.xlabel("GENDER", labelpad=10)
plt.ylabel("COUNTS", labelpad=10)
plt.title("TOTAL COUNTS", y=1.02);

More Loan applications is observed for Females yet we dont know who has payment issues

In [12]:
app1["FLAG_OWN_CAR"].value_counts()
Out[12]:
N    202922
Y    104586
Name: FLAG_OWN_CAR, dtype: int64
In [13]:
sns.set(font_scale=1.5)
app1["FLAG_OWN_CAR"].value_counts().plot(kind='bar', figsize=(8, 6), rot=0)
plt.xlabel("OWNS_CAR", labelpad=10)
plt.ylabel("COUNTS", labelpad=10)
plt.title("TOTAL COUNTS", y=1.02);

Most of the people dont owns cars....

In [14]:
app1["FLAG_OWN_REALTY"].value_counts()
Out[14]:
Y    213309
N     94199
Name: FLAG_OWN_REALTY, dtype: int64
In [15]:
sns.set(font_scale=1.5)
app1["FLAG_OWN_REALTY"].value_counts().plot(kind='bar', figsize=(8, 6), rot=0)
plt.xlabel("OWNS_REAL_ESTATE", labelpad=10)
plt.ylabel("NUMBERS", labelpad=10)
plt.title("TOTAL NUMBERS", y=1.02);

Most of the people own real estate , could be the issues for payment? let' see

In [16]:
app1.select_dtypes("object").columns
Out[16]:
Index(['NAME_CONTRACT_TYPE', 'CODE_GENDER', 'FLAG_OWN_CAR', 'FLAG_OWN_REALTY',
       'NAME_TYPE_SUITE', 'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE',
       'NAME_FAMILY_STATUS', 'NAME_HOUSING_TYPE', 'OCCUPATION_TYPE',
       'WEEKDAY_APPR_PROCESS_START', 'ORGANIZATION_TYPE'],
      dtype='object')
In [17]:
app1["NAME_TYPE_SUITE"].value_counts()
Out[17]:
Unaccompanied      249815
Family              40149
Spouse, partner     11370
Children             3267
Other_B              1770
Other_A               866
Group of people       271
Name: NAME_TYPE_SUITE, dtype: int64
In [18]:
sns.set(font_scale=1.5)
app1["NAME_TYPE_SUITE"].value_counts().plot(kind='barh', figsize=(8, 6), rot=0)
plt.xlabel("NUMBERS", labelpad=10)
plt.ylabel("SUITE OPTIONS", labelpad=10)
plt.title("TOTAL NUMBERS", y=1.02);

Most of the loans processed are with unaccompanied clients

In [19]:
app1["NAME_INCOME_TYPE"].value_counts()
Out[19]:
Working                 158773
Commercial associate     71615
Pensioner                55362
State servant            21703
Unemployed                  22
Student                     18
Businessman                 10
Maternity leave              5
Name: NAME_INCOME_TYPE, dtype: int64
In [20]:
per_income_typ= app1["NAME_INCOME_TYPE"].value_counts()/len(app1)*100
per_income_typ.plot(kind='bar', figsize=(10, 8), rot=90 )
plt.xlabel("INCOME_TYPE", labelpad=10)
plt.ylabel("%COUNT", labelpad=10)
plt.title("INCOME_TYPE_%COUNTS", y=1.0);

Most of the people are from working profiles > 50% for loan applications

In [21]:
app1["NAME_EDUCATION_TYPE"].value_counts()
Out[21]:
Secondary / secondary special    218391
Higher education                  74862
Incomplete higher                 10276
Lower secondary                    3815
Academic degree                     164
Name: NAME_EDUCATION_TYPE, dtype: int64
In [22]:
per_income_typ= app1["NAME_EDUCATION_TYPE"].value_counts()/len(app1)*100
per_income_typ.plot(kind='bar', figsize=(10, 8), rot=90 )
plt.xlabel("EDUCATION_TYPE", labelpad=10)
plt.ylabel("%COUNT", labelpad=10)
plt.title("EDUCATION_TYPE_%COUNTS", y=1.0);

Most of the observations around 70% are with Secondary/Secondary special education

In [23]:
app1["NAME_FAMILY_STATUS"].value_counts().plot(kind='bar', figsize=(10, 8), rot=90);
In [24]:
app1["NAME_HOUSING_TYPE"].value_counts().plot(kind='bar', figsize=(8, 6), rot=90);
In [25]:
app1["OCCUPATION_TYPE"].value_counts().plot(kind='bar', figsize=(8, 6), rot=90);
In [26]:
app1["WEEKDAY_APPR_PROCESS_START"].value_counts().plot(kind='bar');

Most of the loan applications were done in start of the week on average.

In [27]:
app1["ORGANIZATION_TYPE"].value_counts().plot(kind='bar', figsize=(15, 12), rot=90)
plt.xlabel("ORGANIZATION_TYPE", labelpad=8)
plt.ylabel("COUNTS", labelpad=8)
plt.title("ORGANIZATION_TYPE_COUNTS", y=1.0);
In [28]:
#### Most of the loans are decided based on income of client, assets, years of working period/timeline of loan, 
### loan credit amount...most of them, we will identify the amount based columns and analyse the data here
col_amt = [c for c in app1.columns if c.startswith('AMT')]
col_amt
Out[28]:
['AMT_INCOME_TOTAL',
 'AMT_CREDIT',
 'AMT_ANNUITY',
 'AMT_GOODS_PRICE',
 'AMT_REQ_CREDIT_BUREAU_HOUR',
 'AMT_REQ_CREDIT_BUREAU_DAY',
 'AMT_REQ_CREDIT_BUREAU_WEEK',
 'AMT_REQ_CREDIT_BUREAU_MON',
 'AMT_REQ_CREDIT_BUREAU_QRT',
 'AMT_REQ_CREDIT_BUREAU_YEAR']
In [29]:
### Lets check the income columns for any outliers
sns.boxplot(app1["AMT_INCOME_TOTAL"].value_counts())
Out[29]:
<matplotlib.axes._subplots.AxesSubplot at 0x12859528a58>

Based on the box plot for income total, lets perfom binning to identify any outliers better and get better understanding

In [30]:
### Binnning the values and converting them numerical to categorical
app1["AMT_INCOME_CAT"] = pd.qcut(app1.AMT_INCOME_TOTAL,q=[0,0.2,0.4,0.6,0.8,1.0],labels = ["VLOW","LOW","MEDIOCRE","HIGH","VHIGH"])
app1.AMT_INCOME_CAT.head()
Out[30]:
0     HIGH
1    VHIGH
2     VLOW
3      LOW
4      LOW
Name: AMT_INCOME_CAT, dtype: category
Categories (5, object): [VLOW < LOW < MEDIOCRE < HIGH < VHIGH]
In [31]:
### Binning values for income credit loan
app1["AMT_CREDIT_CAT"] = pd.qcut(app1.AMT_CREDIT,q=[0,0.2,0.4,0.6,0.8,1.0],labels = ["VLOW","LOW","MEDIOCRE","HIGH","VHIGH"])
app1.AMT_CREDIT_CAT.head()
Out[31]:
0         LOW
1       VHIGH
2        VLOW
3         LOW
4    MEDIOCRE
Name: AMT_CREDIT_CAT, dtype: category
Categories (5, object): [VLOW < LOW < MEDIOCRE < HIGH < VHIGH]
In [32]:
app1.AMT_CREDIT_CAT.value_counts().plot(kind= "bar")
Out[32]:
<matplotlib.axes._subplots.AxesSubplot at 0x1285900acf8>

we see that people have more numbers for very low and high salaries relative to other groups....

In [33]:
app1.AMT_INCOME_CAT.value_counts().plot(kind= "bar")
Out[33]:
<matplotlib.axes._subplots.AxesSubplot at 0x12858f2b6d8>

People have more counts for low and high profile salaries i.e. in synch with amount credited

Checking on columns that have days employed.or starting with days..etc so that we know people with high numbers of days being employed
In [34]:
col_day = [c for c in app1.columns if c.startswith('DAYS')]
col_day
Out[34]:
['DAYS_BIRTH',
 'DAYS_EMPLOYED',
 'DAYS_REGISTRATION',
 'DAYS_ID_PUBLISH',
 'DAYS_LAST_PHONE_CHANGE']
In [35]:
### Lets check on the age group for the data clients age in days
app1.DAYS_BIRTH.min(), app1.DAYS_BIRTH.max(), app1.DAYS_BIRTH.mean()
Out[35]:
(7489.0, 25229.0, 16037.041559894376)
In [36]:
### Lets do binning of these values as well to know in which age group they fall
app1["DAYS_BIRTH_CAT"] = pd.cut(app1.DAYS_BIRTH,bins=[0,5475,9125,16425,25550],labels = ["YOUNG","TEENAGE","MIDDLE-AGE","SENIORS"])
app1["DAYS_BIRTH_CAT"].head()
Out[36]:
0    MIDDLE-AGE
1       SENIORS
2       SENIORS
3       SENIORS
4       SENIORS
Name: DAYS_BIRTH_CAT, dtype: category
Categories (4, object): [YOUNG < TEENAGE < MIDDLE-AGE < SENIORS]
In [37]:
app1.DAYS_BIRTH_CAT.value_counts().plot(kind="bar");
In [38]:
### Thats for binning values, lets identify outliers in the data
sns.boxplot(y = app1["AMT_INCOME_TOTAL"])
plt.title("AMT_INCOME_DISTRIBUTION")
plt.show();
In [39]:
### Lets try with plotly plots as the plot above is not clear, importing library
import plotly
import plotly.express as px
In [40]:
fig = px.box(app1, y="AMT_INCOME_TOTAL",title='AMT_INCOME_DISTRIBUTION' )
fig.show()

One of the value 117M is definitely an outlier

In [41]:
sns.boxplot(y = app1["DAYS_BIRTH"])
plt.show();
In [42]:
sns.boxplot(y = app1["AMT_ANNUITY"])
plt.show();

The value above 250K is definitely an outlier

In [43]:
sns.boxplot(y = app1["DAYS_EMPLOYED"])
plt.show();

Values above 300000 is defintely outlier

In [44]:
sns.boxplot(y = app1["DAYS_REGISTRATION"])
plt.show();

Now to understand why target-1 is having payment issues and target-0 is runnings with no issues, we have split the data into two groups to analyze more better

In [45]:
app1.TARGET.value_counts()
Out[45]:
0    282683
1     24825
Name: TARGET, dtype: int64
In [46]:
data_imbalance  = app1.TARGET.value_counts()/len(app1)*100
data_imbalance
Out[46]:
0    91.927039
1     8.072961
Name: TARGET, dtype: float64
In [47]:
colors = sns.color_palette('pastel')
plt.pie(data_imbalance, labels = ["Nopayissue", "payissue"],colors = colors, autopct='%.f%%')
plt.title("Data Imbalance")
plt.show();

Dividing the dataset into two groups based on target values

In [48]:
app1[app1["TARGET"] == 0]
Out[48]:
SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE NAME_TYPE_SUITE NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL OCCUPATION_TYPE CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY WEEKDAY_APPR_PROCESS_START HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY ORGANIZATION_TYPE EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR AMT_INCOME_CAT AMT_CREDIT_CAT DAYS_BIRTH_CAT
1 100003 0 Cash loans F N N 0 270000.000 1293502.5 35698.5 1129500.0 Family State servant Higher education Married House / apartment 0.003541 16765.0 1188.0 1186.0 291.0 0.0 1 1 0 1 1 0 Core staff 2.0 1 1 MONDAY 11 0 0 0 0 0 0 School 0.622246 NaN 1.0 0.0 1.0 0.0 -828.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH VHIGH SENIORS
2 100004 0 Revolving loans M Y Y 0 67500.000 135000.0 6750.0 135000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.010032 19046.0 225.0 4260.0 2531.0 26.0 1 1 1 1 1 0 Laborers 1.0 2 2 MONDAY 9 0 0 0 0 0 0 Government 0.555912 0.729567 0.0 0.0 0.0 0.0 -815.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW VLOW SENIORS
3 100006 0 Cash loans F N Y 0 135000.000 312682.5 29686.5 297000.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.008019 19005.0 3039.0 9833.0 2437.0 0.0 1 1 0 1 0 0 Laborers 2.0 2 2 WEDNESDAY 17 0 0 0 0 0 0 Business Entity Type 3 0.650442 NaN 2.0 0.0 2.0 0.0 -617.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW LOW SENIORS
4 100007 0 Cash loans M N Y 0 121500.000 513000.0 21865.5 513000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.028663 19932.0 3038.0 4311.0 3458.0 0.0 1 1 0 1 0 0 Core staff 1.0 2 2 THURSDAY 11 0 0 0 0 1 1 Religion 0.322738 NaN 0.0 0.0 0.0 0.0 -1106.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW MEDIOCRE SENIORS
5 100008 0 Cash loans M N Y 0 99000.000 490495.5 27517.5 454500.0 Spouse, partner State servant Secondary / secondary special Married House / apartment 0.035792 16941.0 1588.0 4970.0 477.0 0.0 1 1 1 1 1 0 Laborers 2.0 2 2 WEDNESDAY 16 0 0 0 0 0 0 Other 0.354225 0.621226 0.0 0.0 0.0 0.0 -2536.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0 VLOW MEDIOCRE SENIORS
6 100009 0 Cash loans F Y Y 1 171000.000 1560726.0 41301.0 1395000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.035792 13778.0 3130.0 1213.0 619.0 17.0 1 1 0 1 1 0 Accountants 3.0 2 2 SUNDAY 16 0 0 0 0 0 0 Business Entity Type 3 0.724000 0.492060 1.0 0.0 1.0 0.0 -1562.0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 2.0 HIGH VHIGH MIDDLE-AGE
7 100010 0 Cash loans M Y Y 0 360000.000 1530000.0 42075.0 1530000.0 Unaccompanied State servant Higher education Married House / apartment 0.003122 18850.0 449.0 4597.0 2379.0 8.0 1 1 1 1 0 0 Managers 2.0 3 3 MONDAY 16 0 0 0 0 1 1 Other 0.714279 0.540654 2.0 0.0 2.0 0.0 -1070.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH VHIGH SENIORS
8 100011 0 Cash loans F N Y 0 112500.000 1019610.0 33826.5 913500.0 Children Pensioner Secondary / secondary special Married House / apartment 0.018634 20099.0 365243.0 7427.0 3514.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 XNA 0.205747 0.751724 1.0 0.0 1.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW VHIGH SENIORS
9 100012 0 Revolving loans M N Y 0 135000.000 405000.0 20250.0 405000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.019689 14469.0 2019.0 14437.0 3992.0 0.0 1 1 0 1 0 0 Laborers 1.0 2 2 THURSDAY 8 0 0 0 0 0 0 Electricity 0.746644 NaN 2.0 0.0 2.0 0.0 -1673.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW LOW MIDDLE-AGE
10 100014 0 Cash loans F N Y 1 112500.000 652500.0 21177.0 652500.0 Unaccompanied Working Higher education Married House / apartment 0.022800 10197.0 679.0 4427.0 738.0 0.0 1 1 0 1 0 0 Core staff 3.0 2 2 SATURDAY 15 0 0 0 0 0 0 Medicine 0.651862 0.363945 0.0 0.0 0.0 0.0 -844.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0 LOW HIGH MIDDLE-AGE
11 100015 0 Cash loans F N Y 0 38419.155 148365.0 10678.5 135000.0 Children Pensioner Secondary / secondary special Married House / apartment 0.015221 20417.0 365243.0 5246.0 2512.0 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 7 0 0 0 0 0 0 XNA 0.555183 0.652897 0.0 0.0 0.0 0.0 -2396.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW VLOW SENIORS
12 100016 0 Cash loans F N Y 0 67500.000 80865.0 5881.5 67500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.031329 13439.0 2717.0 311.0 3227.0 0.0 1 1 1 1 1 0 Laborers 2.0 2 2 FRIDAY 10 0 0 0 0 0 0 Business Entity Type 2 0.715042 0.176653 0.0 0.0 0.0 0.0 -2370.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0 VLOW VLOW MIDDLE-AGE
13 100017 0 Cash loans M Y N 1 225000.000 918468.0 28966.5 697500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.016612 14086.0 3028.0 643.0 4911.0 23.0 1 1 0 1 0 0 Drivers 3.0 2 2 THURSDAY 13 0 0 0 0 0 0 Self-employed 0.566907 0.770087 0.0 0.0 0.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH VHIGH MIDDLE-AGE
14 100018 0 Cash loans F N Y 0 189000.000 773680.5 32778.0 679500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010006 14583.0 203.0 615.0 2056.0 0.0 1 1 0 1 0 0 Laborers 2.0 2 1 MONDAY 9 0 0 0 0 0 0 Transport: type 2 0.642656 NaN 0.0 0.0 0.0 0.0 -188.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN HIGH HIGH MIDDLE-AGE
15 100019 0 Cash loans M Y Y 0 157500.000 299772.0 20160.0 247500.0 Family Working Secondary / secondary special Single / not married Rented apartment 0.020713 8728.0 1157.0 3494.0 1368.0 17.0 1 1 0 1 0 0 Laborers 1.0 3 3 SATURDAY 6 0 0 0 1 1 0 Business Entity Type 2 0.346634 0.678568 0.0 0.0 0.0 0.0 -925.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 MEDIOCRE LOW TEENAGE
16 100020 0 Cash loans M N N 0 108000.000 509602.5 26149.5 387000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.018634 12931.0 1317.0 6392.0 3866.0 0.0 1 1 0 1 0 0 Drivers 2.0 2 2 THURSDAY 12 0 0 0 1 1 0 Government 0.236378 0.062103 0.0 0.0 0.0 0.0 -3.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0 LOW MEDIOCRE MIDDLE-AGE
17 100021 0 Revolving loans F N Y 1 81000.000 270000.0 13500.0 270000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010966 9776.0 191.0 4143.0 2427.0 0.0 1 1 0 1 0 0 Laborers 3.0 2 2 MONDAY 10 0 0 0 1 1 0 Construction 0.683513 NaN 4.0 0.0 4.0 0.0 -2811.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW LOW MIDDLE-AGE
18 100022 0 Revolving loans F N Y 0 112500.000 157500.0 7875.0 157500.0 Other_A Working Secondary / secondary special Widow House / apartment 0.046220 17718.0 7804.0 8751.0 1259.0 0.0 1 1 0 1 1 0 Laborers 1.0 1 1 FRIDAY 13 0 0 0 0 0 0 Housing 0.706428 0.556727 8.0 0.0 8.0 0.0 -239.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW VLOW SENIORS
19 100023 0 Cash loans F N Y 1 90000.000 544491.0 17563.5 454500.0 Unaccompanied State servant Higher education Single / not married House / apartment 0.015221 11348.0 2038.0 1021.0 3964.0 0.0 1 1 1 1 1 0 Core staff 2.0 2 2 MONDAY 12 0 0 0 0 0 0 Kindergarten 0.586617 0.477649 0.0 0.0 0.0 0.0 -1850.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW MEDIOCRE MIDDLE-AGE
20 100024 0 Revolving loans M Y Y 0 135000.000 427500.0 21375.0 427500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.015221 18252.0 4286.0 298.0 1800.0 7.0 1 1 0 1 0 0 Laborers 2.0 2 2 FRIDAY 13 0 0 0 0 0 0 Self-employed 0.113375 NaN 0.0 0.0 0.0 0.0 -296.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW LOW SENIORS
21 100025 0 Cash loans F Y Y 1 202500.000 1132573.5 37561.5 927000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.025164 14815.0 1652.0 2299.0 2299.0 14.0 1 1 0 1 0 0 Sales staff 3.0 2 2 MONDAY 9 0 0 0 0 0 0 Trade: type 7 0.233767 0.542445 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 4.0 HIGH VHIGH MIDDLE-AGE
22 100026 0 Cash loans F N N 1 450000.000 497520.0 32521.5 450000.0 Unaccompanied Working Secondary / secondary special Married Rented apartment 0.020713 11146.0 4306.0 114.0 2518.0 0.0 1 1 0 1 0 0 Sales staff 3.0 3 2 THURSDAY 6 0 0 0 0 0 0 Self-employed 0.457143 0.358951 0.0 0.0 0.0 0.0 -468.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0 VHIGH MEDIOCRE MIDDLE-AGE
23 100027 0 Cash loans F N Y 0 83250.000 239850.0 23850.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.006296 24827.0 365243.0 9012.0 3684.0 0.0 1 0 0 1 1 0 NaN 2.0 3 3 FRIDAY 12 0 0 0 0 0 0 XNA 0.624305 0.669057 0.0 0.0 0.0 0.0 -795.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 VLOW VLOW SENIORS
24 100029 0 Cash loans M Y N 2 135000.000 247500.0 12703.5 247500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.026392 11286.0 746.0 108.0 3729.0 7.0 1 1 0 1 0 0 Drivers 4.0 2 2 THURSDAY 14 0 0 0 0 1 1 Business Entity Type 3 0.786179 0.565608 1.0 1.0 1.0 0.0 -4.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW VLOW MIDDLE-AGE
25 100030 0 Cash loans F N Y 0 90000.000 225000.0 11074.5 225000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.028663 19334.0 3494.0 2419.0 2893.0 0.0 1 1 0 1 1 0 Cleaning staff 2.0 2 2 SATURDAY 8 0 0 0 0 0 0 Business Entity Type 3 0.651406 0.461482 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW VLOW SENIORS
27 100032 0 Cash loans M N Y 1 112500.000 327024.0 23827.5 270000.0 Family Working Secondary / secondary special Married House / apartment 0.019101 15948.0 1234.0 5782.0 3153.0 0.0 1 1 0 1 0 0 Laborers 3.0 2 2 SATURDAY 10 0 0 0 0 1 1 Industry: type 11 0.541124 0.659406 2.0 0.0 2.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW LOW MIDDLE-AGE
28 100033 0 Cash loans M Y Y 0 270000.000 790830.0 57676.5 675000.0 Unaccompanied State servant Higher education Single / not married House / apartment 0.046220 9994.0 1796.0 4668.0 2661.0 1.0 1 1 0 1 0 1 NaN 1.0 1 1 WEDNESDAY 11 0 1 1 0 0 0 Military 0.685011 0.524496 0.0 0.0 0.0 0.0 -849.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0 VHIGH HIGH MIDDLE-AGE
29 100034 0 Revolving loans M N Y 0 90000.000 180000.0 9000.0 180000.0 Unaccompanied Working Higher education Single / not married With parents 0.030755 10341.0 1010.0 4799.0 3015.0 0.0 1 1 0 1 0 0 Laborers 1.0 2 2 TUESDAY 16 0 0 0 0 0 0 Business Entity Type 3 0.502779 NaN 0.0 0.0 0.0 0.0 -599.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW VLOW MIDDLE-AGE
30 100035 0 Cash loans F N Y 0 292500.000 665892.0 24592.5 477000.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.025164 15280.0 2668.0 5266.0 3787.0 0.0 1 1 0 1 0 1 NaN 2.0 2 2 WEDNESDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.479987 0.410103 0.0 0.0 0.0 0.0 -1634.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 5.0 VHIGH HIGH MIDDLE-AGE
31 100036 0 Cash loans F N Y 0 112500.000 512064.0 25033.5 360000.0 Family Working Secondary / secondary special Civil marriage House / apartment 0.008575 11144.0 1104.0 7846.0 2904.0 0.0 1 1 0 1 0 0 Private service staff 2.0 2 2 TUESDAY 12 0 0 0 0 0 0 Services 0.627300 NaN 2.0 0.0 2.0 0.0 -397.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 5.0 LOW MEDIOCRE MIDDLE-AGE
32 100037 0 Cash loans F N N 0 90000.000 199008.0 20893.5 180000.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.010032 12974.0 4404.0 7123.0 4464.0 0.0 1 1 1 1 0 0 Laborers 2.0 2 2 SATURDAY 11 0 0 0 0 0 0 Business Entity Type 2 0.559467 0.798137 0.0 0.0 0.0 0.0 -2766.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW VLOW MIDDLE-AGE
33 100039 0 Cash loans M Y N 1 360000.000 733315.5 39069.0 679500.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.015221 11694.0 2060.0 3557.0 3557.0 3.0 1 1 0 1 0 0 Drivers 3.0 2 2 THURSDAY 10 0 0 0 1 1 0 Self-employed 0.321745 0.411849 2.0 0.0 2.0 0.0 -697.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0 VHIGH HIGH MIDDLE-AGE
34 100040 0 Cash loans F N Y 0 135000.000 1125000.0 32895.0 1125000.0 Unaccompanied State servant Higher education Married House / apartment 0.019689 15997.0 4585.0 5735.0 4067.0 0.0 1 1 0 1 0 0 Core staff 2.0 2 2 FRIDAY 14 0 0 0 0 0 0 Security Ministries 0.172498 NaN 0.0 0.0 0.0 0.0 -3019.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW VHIGH MIDDLE-AGE
35 100041 0 Cash loans F N N 0 112500.000 450000.0 44509.5 450000.0 Unaccompanied Working Higher education Married House / apartment 0.008575 12158.0 1275.0 6265.0 2009.0 0.0 1 1 1 1 1 0 Sales staff 2.0 2 2 MONDAY 19 0 0 0 0 0 0 Self-employed 0.663158 0.678568 0.0 0.0 0.0 0.0 -1285.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW MEDIOCRE MIDDLE-AGE
36 100043 0 Cash loans F N Y 2 198000.000 641173.5 23157.0 553500.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.018850 17199.0 768.0 63.0 735.0 0.0 1 1 1 1 1 0 Private service staff 4.0 2 2 THURSDAY 13 0 0 0 0 0 0 Other 0.681699 0.754406 0.0 0.0 0.0 0.0 -2411.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0 HIGH HIGH SENIORS
37 100044 0 Cash loans M N Y 0 121500.000 454500.0 15151.5 454500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.030755 21077.0 1288.0 5474.0 4270.0 0.0 1 1 0 1 1 0 Drivers 2.0 2 2 FRIDAY 10 0 0 0 0 1 1 Transport: type 4 0.719799 0.722393 0.0 0.0 0.0 0.0 -1541.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0 LOW MEDIOCRE SENIORS
38 100045 0 Cash loans F N Y 0 99000.000 247275.0 17338.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.006207 23920.0 365243.0 9817.0 4969.0 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 11 0 0 0 0 0 0 XNA 0.650765 0.751724 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW VLOW SENIORS
39 100046 0 Revolving loans M Y Y 0 180000.000 540000.0 27000.0 540000.0 Unaccompanied Working Higher education Married House / apartment 0.025164 16126.0 1761.0 8236.0 4292.0 3.0 1 1 0 1 0 0 Managers 2.0 2 2 TUESDAY 8 0 0 0 0 0 0 Business Entity Type 3 0.738053 0.605836 1.0 0.0 1.0 0.0 -540.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0 HIGH MEDIOCRE MIDDLE-AGE
41 100048 0 Cash loans F N Y 0 202500.000 604152.0 29196.0 540000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.009175 16971.0 475.0 3148.0 513.0 0.0 1 1 0 1 1 0 Laborers 2.0 2 2 MONDAY 12 0 1 1 0 1 1 Industry: type 1 0.037315 NaN 4.0 0.0 4.0 0.0 -458.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0 HIGH MEDIOCRE SENIORS
43 100050 0 Cash loans F N Y 0 108000.000 746280.0 42970.5 675000.0 Unaccompanied Pensioner Higher education Single / not married House / apartment 0.010966 23548.0 365243.0 5745.0 4576.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA 0.766138 0.684828 0.0 0.0 0.0 0.0 -491.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 LOW HIGH SENIORS
44 100051 0 Cash loans M N Y 0 202500.000 661702.5 48280.5 598500.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.007114 9827.0 758.0 4166.0 2380.0 0.0 1 1 1 1 0 0 NaN 2.0 2 2 WEDNESDAY 12 0 0 0 0 1 1 Business Entity Type 3 0.631519 NaN 1.0 0.0 1.0 0.0 -556.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN HIGH HIGH MIDDLE-AGE
45 100052 0 Revolving loans F N Y 1 90000.000 180000.0 9000.0 180000.0 Family Working Secondary / secondary special Civil marriage House / apartment 0.009334 7974.0 895.0 6591.0 642.0 0.0 1 1 1 1 0 0 Sales staff 3.0 2 2 MONDAY 10 0 0 0 0 0 0 Self-employed 0.535542 NaN 1.0 1.0 1.0 1.0 -462.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW VLOW TEENAGE
46 100053 0 Cash loans F N Y 0 202500.000 305221.5 17649.0 252000.0 Family Pensioner Secondary / secondary special Single / not married House / apartment 0.019689 20373.0 365243.0 7760.0 1993.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 8 0 0 0 0 0 0 XNA 0.247665 0.475850 0.0 0.0 0.0 0.0 -649.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 4.0 HIGH LOW SENIORS
47 100054 0 Cash loans F N Y 0 99000.000 260640.0 26838.0 225000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.022625 20121.0 5332.0 9197.0 3283.0 0.0 1 1 1 1 1 0 Medicine staff 2.0 2 2 WEDNESDAY 16 0 0 0 0 1 1 Business Entity Type 3 0.089241 0.728141 4.0 0.0 4.0 0.0 -1247.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW LOW SENIORS
48 100055 0 Cash loans F N N 0 130500.000 1350000.0 37255.5 1350000.0 Unaccompanied State servant Secondary / secondary special Married House / apartment 0.020713 19727.0 4411.0 6225.0 3199.0 0.0 1 1 1 1 1 0 Managers 2.0 3 3 THURSDAY 10 0 0 0 0 0 0 Government 0.589187 0.466864 0.0 0.0 0.0 0.0 -784.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW VHIGH SENIORS
49 100056 0 Cash loans M Y Y 0 360000.000 1506816.0 49927.5 1350000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010006 18264.0 9523.0 5504.0 1797.0 3.0 1 1 0 1 0 0 Laborers 2.0 2 2 THURSDAY 10 0 0 0 0 1 1 Transport: type 2 0.523934 NaN 1.0 1.0 1.0 1.0 -1498.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VHIGH VHIGH SENIORS
50 100058 0 Revolving loans F N Y 0 54000.000 135000.0 6750.0 135000.0 Unaccompanied State servant Higher education Married House / apartment 0.014520 12406.0 1176.0 1149.0 2576.0 0.0 1 1 0 0 0 0 Core staff 2.0 2 2 THURSDAY 9 0 0 0 0 0 0 School 0.450850 0.479449 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW VLOW MIDDLE-AGE
51 100059 0 Cash loans M Y Y 1 540000.000 675000.0 34596.0 675000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.026392 18632.0 6977.0 3904.0 1937.0 7.0 1 1 0 1 1 0 Managers 3.0 2 2 TUESDAY 10 0 0 0 0 0 0 Services 0.713355 0.309275 2.0 0.0 2.0 0.0 -1285.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 0.0 3.0 VHIGH HIGH SENIORS
52 100060 0 Cash loans M Y N 0 76500.000 454500.0 14661.0 454500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.028663 12282.0 778.0 1824.0 1992.0 13.0 1 1 1 1 0 0 NaN 2.0 2 2 TUESDAY 10 0 0 0 0 0 0 Emergency 0.705947 0.799297 4.0 0.0 4.0 0.0 -466.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0 VLOW MEDIOCRE MIDDLE-AGE
53 100061 0 Cash loans F N Y 2 225000.000 314055.0 16164.0 238500.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.006629 10473.0 1392.0 2025.0 1240.0 0.0 1 1 0 1 0 0 Core staff 4.0 2 2 THURSDAY 3 0 0 0 1 1 0 Self-employed 0.702979 0.701696 0.0 0.0 0.0 0.0 -570.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0 HIGH LOW MIDDLE-AGE
54 100062 0 Cash loans M Y N 0 81000.000 675000.0 32472.0 675000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.010006 18611.0 365243.0 6936.0 2142.0 8.0 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 17 0 0 0 0 0 0 XNA 0.662865 0.738020 0.0 0.0 0.0 0.0 -462.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW HIGH SENIORS
55 100063 0 Cash loans F N Y 0 180000.000 837427.5 45558.0 666000.0 Unaccompanied Working Higher education Married House / apartment 0.022625 12955.0 4106.0 7054.0 5164.0 0.0 1 1 0 1 1 1 Managers 2.0 2 2 MONDAY 15 0 0 0 0 0 0 Medicine 0.616637 0.070109 1.0 1.0 1.0 1.0 -1547.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 4.0 HIGH HIGH MIDDLE-AGE
56 100064 0 Cash loans F N N 0 67500.000 298728.0 15381.0 202500.0 Family Pensioner Secondary / secondary special Single / not married Municipal apartment 0.019101 21621.0 365243.0 2019.0 1344.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 9 0 0 0 0 0 0 XNA 0.622708 0.169429 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW LOW SENIORS
57 100068 0 Revolving loans M N Y 0 81000.000 247500.0 12375.0 247500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.031329 18248.0 2351.0 4375.0 1721.0 0.0 1 1 1 1 1 0 Security staff 2.0 2 2 WEDNESDAY 14 0 0 0 0 1 1 Security 0.609135 0.513694 2.0 0.0 2.0 0.0 -167.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW VLOW SENIORS
58 100069 0 Cash loans M Y Y 1 360000.000 640458.0 27265.5 517500.0 Unaccompanied Working Secondary / secondary special Separated House / apartment 0.007330 14186.0 1743.0 2128.0 4982.0 10.0 1 1 0 1 0 0 Laborers 2.0 2 2 MONDAY 11 0 1 1 0 1 1 Transport: type 4 0.256737 0.707699 0.0 0.0 0.0 0.0 -112.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 3.0 VHIGH HIGH MIDDLE-AGE
59 100070 0 Cash loans M Y Y 0 540000.000 1227901.5 46899.0 1129500.0 Unaccompanied Working Higher education Widow House / apartment 0.032561 20544.0 2091.0 6846.0 566.0 2.0 1 1 1 1 0 0 Managers 1.0 1 1 TUESDAY 14 0 0 0 0 0 0 Business Entity Type 3 0.653597 0.339288 0.0 0.0 0.0 0.0 -1377.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH VHIGH SENIORS
60 100071 0 Cash loans F N Y 0 180000.000 1663987.5 86989.5 1588500.0 Family Commercial associate Secondary / secondary special Married House / apartment 0.018801 20121.0 2446.0 6755.0 2177.0 0.0 1 1 0 1 0 0 Accountants 2.0 2 2 MONDAY 12 0 0 0 0 0 0 Industry: type 11 0.570666 0.697147 0.0 0.0 0.0 0.0 -1572.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 1.0 HIGH VHIGH SENIORS
61 100072 0 Cash loans M N N 0 180000.000 1080000.0 44118.0 1080000.0 Unaccompanied Working Incomplete higher Single / not married With parents 0.010006 7907.0 1324.0 4557.0 586.0 0.0 1 1 0 1 0 1 Sales staff 1.0 2 1 TUESDAY 9 0 0 0 0 0 0 Trade: type 2 0.026541 0.434733 0.0 0.0 0.0 0.0 -725.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0 HIGH VHIGH TEENAGE
62 100073 0 Cash loans M Y Y 0 324000.000 1130760.0 40189.5 810000.0 Unaccompanied Pensioner Higher education Civil marriage House / apartment 0.018850 22843.0 365243.0 1042.0 3967.0 10.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 9 0 0 0 0 0 0 XNA 0.733051 0.234015 0.0 0.0 0.0 0.0 -2385.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0 VHIGH VHIGH SENIORS
63 100075 0 Cash loans F N N 0 112500.000 95940.0 10462.5 90000.0 Family Working Higher education Single / not married House / apartment 0.004960 12240.0 3720.0 5246.0 4541.0 0.0 1 1 0 1 0 0 NaN 1.0 2 2 MONDAY 14 0 0 0 0 0 0 University 0.664544 0.492060 0.0 0.0 0.0 0.0 -280.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0 LOW VLOW MIDDLE-AGE
64 100076 0 Cash loans M Y N 0 180000.000 315000.0 9679.5 315000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.028663 13866.0 2546.0 5448.0 4097.0 1.0 1 1 0 1 0 0 Drivers 2.0 2 2 MONDAY 12 0 0 0 0 0 0 Transport: type 3 0.584887 0.095070 0.0 0.0 0.0 0.0 -3.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 HIGH LOW MIDDLE-AGE
65 100077 0 Cash loans M N Y 0 180000.000 1256400.0 40657.5 900000.0 Unaccompanied Commercial associate Secondary / secondary special Single / not married House / apartment 0.072508 12049.0 579.0 6105.0 1.0 0.0 1 1 0 1 0 0 Core staff 1.0 1 1 WEDNESDAY 12 0 0 0 0 0 0 Police 0.647348 0.562060 4.0 0.0 4.0 0.0 -295.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 8.0 HIGH VHIGH MIDDLE-AGE
66 100078 0 Cash loans F Y Y 0 180000.000 1035000.0 43983.0 1035000.0 Unaccompanied State servant Higher education Married House / apartment 0.028663 19550.0 4856.0 6836.0 3084.0 21.0 1 1 0 1 0 0 Core staff 2.0 2 2 TUESDAY 9 0 0 0 0 0 0 Government 0.517270 0.429424 0.0 0.0 0.0 0.0 -1594.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 HIGH VHIGH SENIORS
67 100079 0 Revolving loans M N Y 0 225000.000 270000.0 13500.0 270000.0 Unaccompanied Working Secondary / secondary special Separated Municipal apartment 0.007330 15359.0 114.0 5076.0 2922.0 0.0 1 1 0 1 0 0 Laborers 1.0 2 2 THURSDAY 9 0 0 0 0 1 1 Construction 0.561923 0.413597 0.0 0.0 0.0 0.0 -662.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0 HIGH LOW MIDDLE-AGE
68 100080 0 Revolving loans F N N 1 157500.000 450000.0 22500.0 450000.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.010966 11956.0 3154.0 8118.0 4143.0 0.0 1 1 0 1 0 0 Sales staff 3.0 2 2 SUNDAY 10 0 0 0 0 0 0 Kindergarten 0.123888 0.832785 NaN NaN NaN NaN -1711.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0 MEDIOCRE MEDIOCRE MIDDLE-AGE
69 100081 0 Cash loans M Y N 0 180000.000 450000.0 21109.5 450000.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.014520 10848.0 121.0 4809.0 3494.0 20.0 1 1 0 1 0 0 Laborers 2.0 2 2 SATURDAY 9 0 0 0 0 0 0 Other 0.645438 NaN 1.0 0.0 1.0 0.0 -2519.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN HIGH MEDIOCRE MIDDLE-AGE
70 100082 0 Cash loans M N N 2 180000.000 450000.0 21109.5 450000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.018850 12009.0 2844.0 1377.0 3656.0 0.0 1 1 1 1 1 0 Laborers 4.0 2 2 MONDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.686505 0.394495 0.0 0.0 0.0 0.0 -1003.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 2.0 HIGH MEDIOCRE MIDDLE-AGE
71 100083 0 Cash loans M Y Y 0 103500.000 573628.5 24435.0 463500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.009657 15406.0 892.0 341.0 4176.0 22.0 1 1 0 1 0 0 Laborers 2.0 2 2 MONDAY 18 0 0 0 0 0 0 Business Entity Type 3 0.707126 0.597192 2.0 1.0 2.0 1.0 -2053.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 LOW MEDIOCRE MIDDLE-AGE
72 100084 0 Cash loans M N Y 2 225000.000 495351.0 26140.5 459000.0 Unaccompanied Working Secondary / secondary special Separated House / apartment 0.024610 14860.0 1156.0 23.0 1072.0 0.0 1 1 0 1 0 0 Laborers 3.0 2 2 FRIDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.570527 0.694093 1.0 0.0 1.0 0.0 -1475.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0 HIGH MEDIOCRE MIDDLE-AGE
73 100085 0 Cash loans M N Y 1 157500.000 755190.0 28894.5 675000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.016612 11187.0 2224.0 3253.0 3723.0 0.0 1 1 1 1 0 0 Drivers 3.0 2 2 WEDNESDAY 12 0 0 0 0 0 0 Business Entity Type 1 0.368719 0.358951 7.0 0.0 7.0 0.0 -1175.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 MEDIOCRE HIGH MIDDLE-AGE
74 100086 0 Cash loans F N Y 1 135000.000 675000.0 21775.5 675000.0 Unaccompanied Commercial associate Higher education Widow House / apartment 0.019101 14264.0 2492.0 4327.0 4517.0 0.0 1 1 0 1 0 0 Laborers 2.0 2 2 THURSDAY 12 0 0 0 0 0 0 Self-employed 0.569873 0.198620 0.0 0.0 0.0 0.0 -1597.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 4.0 2.0 LOW HIGH MIDDLE-AGE
75 100087 0 Cash loans F N Y 1 202500.000 1288350.0 37800.0 1125000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.003069 17542.0 2011.0 1529.0 988.0 0.0 1 1 0 1 0 0 Cooking staff 3.0 3 3 FRIDAY 11 0 0 0 0 0 0 Self-employed 0.572064 0.191822 2.0 1.0 2.0 1.0 -1230.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 HIGH VHIGH SENIORS
76 100088 0 Revolving loans F N N 0 112500.000 135000.0 6750.0 135000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.022800 19467.0 4066.0 4623.0 2975.0 0.0 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 15 0 0 0 0 0 0 School 0.585174 0.408359 0.0 0.0 0.0 0.0 -1537.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW VLOW SENIORS
77 100089 0 Cash loans M N Y 0 135000.000 337761.0 15781.5 256500.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.025164 9666.0 2811.0 4437.0 2342.0 0.0 1 1 0 1 1 0 Laborers 2.0 2 2 TUESDAY 12 0 0 0 0 0 0 Self-employed 0.550058 0.535276 2.0 0.0 2.0 0.0 -92.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 LOW LOW MIDDLE-AGE
78 100093 0 Cash loans F N Y 1 94500.000 585000.0 28273.5 585000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.028663 18253.0 721.0 1701.0 1779.0 0.0 1 1 0 1 1 0 Core staff 3.0 2 2 TUESDAY 16 0 0 0 0 0 0 Postal 0.488600 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 VLOW MEDIOCRE SENIORS
79 100094 0 Cash loans F N Y 0 108000.000 113760.0 5301.0 90000.0 Unaccompanied Pensioner Higher education Single / not married House / apartment 0.030755 22935.0 365243.0 12623.0 3442.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 10 0 0 0 0 0 0 XNA 0.582735 0.452534 3.0 0.0 3.0 0.0 -260.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW VLOW SENIORS
80 100095 0 Revolving loans F N Y 2 67500.000 135000.0 6750.0 135000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.020246 18693.0 1434.0 10255.0 2241.0 0.0 1 1 0 1 1 0 Sales staff 4.0 3 3 THURSDAY 8 0 0 0 0 0 0 Trade: type 7 0.304506 NaN 0.0 0.0 0.0 0.0 -1040.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW VLOW SENIORS
82 100097 0 Cash loans M Y Y 0 157500.000 760225.5 30280.5 679500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.035792 17527.0 2442.0 3500.0 983.0 20.0 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 10 0 0 0 0 1 1 Business Entity Type 3 0.357342 0.644679 6.0 0.0 6.0 0.0 -371.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 0.0 0.0 MEDIOCRE HIGH SENIORS
83 100098 0 Revolving loans M Y N 0 225000.000 270000.0 13500.0 270000.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.018850 17390.0 924.0 7211.0 907.0 1.0 1 1 0 1 0 0 Drivers 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 Transport: type 3 0.597081 NaN 0.0 0.0 0.0 0.0 -617.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN HIGH LOW SENIORS
84 100099 0 Cash loans F N Y 0 360000.000 733315.5 41076.0 679500.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.009175 23032.0 365243.0 9506.0 793.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 12 1 0 0 0 0 0 XNA 0.660579 0.342529 4.0 0.0 4.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 VHIGH HIGH SENIORS
85 100100 0 Cash loans M Y Y 2 202500.000 796396.5 38443.5 643500.0 Unaccompanied Working Higher education Married House / apartment 0.008019 15909.0 1094.0 3134.0 4180.0 65.0 1 1 0 1 0 1 Managers 4.0 2 2 FRIDAY 17 0 0 0 0 1 1 Industry: type 11 0.495765 0.824595 0.0 0.0 0.0 0.0 -1876.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 HIGH HIGH MIDDLE-AGE
86 100101 0 Cash loans F Y Y 0 202500.000 343377.0 22072.5 283500.0 Unaccompanied State servant Higher education Single / not married House / apartment 0.072508 18138.0 969.0 7421.0 1681.0 5.0 1 1 0 1 0 0 High skill tech staff 1.0 1 1 WEDNESDAY 13 0 0 0 0 0 0 Business Entity Type 1 0.716212 NaN 0.0 0.0 0.0 0.0 -1585.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN HIGH LOW SENIORS
87 100102 0 Cash loans F N N 1 126000.000 327024.0 10264.5 270000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.024610 14321.0 192.0 6913.0 5942.0 0.0 1 1 0 1 1 0 Laborers 2.0 2 2 SUNDAY 13 0 0 0 0 0 0 Transport: type 4 0.661108 0.477649 1.0 0.0 1.0 0.0 -2.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0.0 0.0 0.0 6.0 0.0 0.0 LOW LOW MIDDLE-AGE
88 100103 0 Cash loans F N Y 0 72000.000 450000.0 16965.0 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.009175 21112.0 1694.0 6057.0 4013.0 0.0 1 1 1 1 0 0 NaN 2.0 2 2 FRIDAY 12 0 0 0 0 0 0 School 0.718058 0.511892 4.0 0.0 4.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW MEDIOCRE SENIORS
89 100104 0 Cash loans F N Y 0 90000.000 547344.0 30690.0 472500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.022625 18556.0 862.0 6769.0 2045.0 0.0 1 1 0 1 1 0 Waiters/barmen staff 2.0 2 2 WEDNESDAY 17 0 0 0 0 0 0 Business Entity Type 3 0.644627 NaN 1.0 0.0 1.0 0.0 -2591.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VLOW MEDIOCRE SENIORS
90 100105 0 Cash loans F N Y 0 193500.000 225000.0 23755.5 225000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.031329 19810.0 8862.0 4493.0 3043.0 0.0 1 1 1 1 1 0 Managers 2.0 2 2 TUESDAY 11 0 0 0 0 0 0 Government 0.254760 0.411849 0.0 0.0 0.0 0.0 -1733.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 4.0 HIGH VLOW SENIORS
91 100108 0 Cash loans F N Y 3 171000.000 545040.0 31288.5 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.006629 12780.0 1415.0 5146.0 870.0 0.0 1 1 1 1 1 0 Sales staff 5.0 2 2 WEDNESDAY 11 0 0 0 0 1 1 Business Entity Type 3 0.756668 0.641368 3.0 0.0 3.0 0.0 -546.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 HIGH MEDIOCRE MIDDLE-AGE
92 100110 0 Cash loans M Y Y 3 135000.000 373140.0 25065.0 337500.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.035792 10744.0 741.0 442.0 2381.0 21.0 1 1 0 1 0 0 Laborers 5.0 2 2 WEDNESDAY 9 0 0 0 0 1 1 Housing 0.640549 0.328063 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0 LOW LOW MIDDLE-AGE
93 100111 0 Cash loans F Y N 1 112500.000 862560.0 27954.0 720000.0 Unaccompanied Commercial associate Secondary / secondary special Married With parents 0.022800 10485.0 1249.0 4628.0 3110.0 17.0 1 1 0 1 0 0 Sales staff 3.0 2 2 MONDAY 11 0 0 0 0 0 0 Business Entity Type 3 0.608604 0.228883 1.0 0.0 1.0 0.0 -1234.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW HIGH MIDDLE-AGE
95 100113 0 Cash loans M Y N 0 76500.000 135000.0 6696.0 135000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.028663 15137.0 7980.0 9176.0 4576.0 11.0 1 1 1 1 0 0 Low-skill Laborers 1.0 2 2 MONDAY 10 0 0 0 0 0 0 Agriculture 0.593019 0.789880 0.0 0.0 0.0 0.0 -1981.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW VLOW MIDDLE-AGE
96 100114 0 Cash loans F N Y 0 135000.000 284400.0 22599.0 225000.0 Unaccompanied Commercial associate Higher education Single / not married House / apartment 0.030755 10734.0 693.0 7913.0 1362.0 0.0 1 1 0 1 0 0 Laborers 1.0 2 2 MONDAY 14 0 0 0 1 1 0 Restaurant 0.154937 0.265049 0.0 0.0 0.0 0.0 -227.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW LOW MIDDLE-AGE
97 100115 0 Cash loans F N N 0 90000.000 315000.0 14683.5 315000.0 Spouse, partner Working Secondary / secondary special Married House / apartment 0.028663 15371.0 367.0 3071.0 4211.0 0.0 1 1 1 1 1 0 NaN 2.0 2 2 SUNDAY 11 0 0 0 0 1 1 Business Entity Type 3 0.334300 NaN 0.0 0.0 0.0 0.0 -40.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 2.0 VLOW LOW MIDDLE-AGE
98 100116 0 Cash loans F N Y 0 243000.000 900000.0 32017.5 900000.0 Unaccompanied Working Higher education Married House / apartment 0.010006 14751.0 6737.0 3390.0 4788.0 0.0 1 1 0 1 0 1 Core staff 2.0 2 1 THURSDAY 11 0 0 0 0 1 1 Kindergarten 0.700274 0.071055 2.0 0.0 2.0 0.0 -1083.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH HIGH MIDDLE-AGE
99 100118 0 Cash loans F N Y 0 90000.000 675000.0 26541.0 675000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.026392 22471.0 365243.0 217.0 4323.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 15 0 0 0 0 0 0 XNA 0.626303 NaN 3.0 2.0 3.0 1.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW HIGH SENIORS
100 100119 0 Revolving loans F N Y 0 54000.000 180000.0 9000.0 180000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.015221 11142.0 2419.0 4987.0 467.0 0.0 1 1 0 1 0 0 Medicine staff 2.0 2 2 SATURDAY 16 0 0 0 0 0 0 Medicine 0.500264 0.077499 0.0 0.0 0.0 0.0 -149.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW VLOW MIDDLE-AGE
101 100120 0 Cash loans F N N 0 135000.000 781920.0 28215.0 675000.0 Unaccompanied Working Higher education Married House / apartment 0.019689 9650.0 2953.0 4329.0 367.0 0.0 1 1 1 1 0 0 Core staff 2.0 2 2 FRIDAY 15 0 0 0 0 1 1 Government 0.169953 0.121408 1.0 0.0 1.0 0.0 -17.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW HIGH MIDDLE-AGE
102 100121 0 Cash loans M N Y 0 126000.000 787131.0 26145.0 679500.0 Unaccompanied Working Secondary / secondary special Married With parents 0.018209 16798.0 669.0 9388.0 347.0 0.0 1 1 1 1 1 0 Low-skill Laborers 2.0 3 3 FRIDAY 7 0 0 0 0 0 0 Business Entity Type 2 0.586150 0.581484 5.0 2.0 5.0 2.0 -319.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0 1.0 0.0 0.0 0.0 1.0 LOW HIGH SENIORS
103 100122 0 Cash loans F N N 1 76500.000 808650.0 26217.0 675000.0 Unaccompanied Commercial associate Higher education Married With parents 0.022800 10954.0 2469.0 550.0 596.0 0.0 1 1 0 1 1 0 Core staff 3.0 2 2 TUESDAY 11 0 0 0 0 0 0 Other 0.047291 0.406617 5.0 1.0 5.0 1.0 -663.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW HIGH MIDDLE-AGE
104 100123 0 Cash loans F N N 0 103500.000 675000.0 19737.0 675000.0 Unaccompanied Working Secondary / secondary special Widow House / apartment 0.020246 23719.0 8466.0 3917.0 4036.0 0.0 1 1 1 1 0 0 Security staff 1.0 3 3 SATURDAY 16 0 0 0 0 0 0 Medicine 0.399366 0.673830 0.0 0.0 0.0 0.0 -1689.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW HIGH SENIORS
105 100124 0 Cash loans M N Y 0 225000.000 448272.0 28647.0 396000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.072508 24051.0 365243.0 7040.0 4053.0 0.0 1 0 0 1 1 1 NaN 1.0 1 1 WEDNESDAY 17 0 0 0 0 0 0 XNA 0.710318 0.554947 0.0 0.0 0.0 0.0 -1080.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 8.0 HIGH MEDIOCRE SENIORS
106 100125 0 Cash loans F N N 0 126000.000 263686.5 26208.0 238500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.009549 21613.0 365243.0 2376.0 2434.0 0.0 1 0 0 1 1 0 NaN 2.0 2 2 MONDAY 11 0 0 0 0 0 0 XNA 0.571331 0.554947 0.0 0.0 0.0 0.0 -1165.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW LOW SENIORS
107 100126 0 Revolving loans M N Y 2 135000.000 180000.0 9000.0 180000.0 Family Working Secondary / secondary special Married House / apartment 0.046220 12900.0 782.0 2124.0 3888.0 0.0 1 1 1 1 0 0 NaN 4.0 1 1 FRIDAY 21 0 0 0 0 1 1 Transport: type 4 0.705093 0.574447 1.0 1.0 1.0 1.0 -1091.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW VLOW MIDDLE-AGE
108 100127 0 Cash loans M N Y 0 112500.000 52128.0 5341.5 45000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.024610 21341.0 365243.0 10150.0 1403.0 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 7 0 0 0 0 0 0 XNA 0.687003 NaN 0.0 0.0 0.0 0.0 -2279.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW VLOW SENIORS
109 100129 0 Revolving loans F Y Y 1 85500.000 135000.0 6750.0 135000.0 Unaccompanied Working Higher education Married House / apartment 0.018029 9415.0 225.0 4066.0 2104.0 5.0 1 1 0 0 0 0 NaN 3.0 3 2 MONDAY 8 0 0 0 0 0 0 Business Entity Type 1 0.610207 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1.0 0.0 0.0 0.0 0.0 0.0 VLOW VLOW MIDDLE-AGE
111 100131 0 Cash loans F N Y 0 270000.000 891072.0 45625.5 720000.0 Unaccompanied Commercial associate Secondary / secondary special Single / not married House / apartment 0.072508 13830.0 1169.0 7953.0 4802.0 0.0 1 1 0 1 0 0 Realty agents 1.0 1 1 THURSDAY 15 0 0 0 0 0 0 Other 0.707972 0.452534 2.0 1.0 2.0 1.0 -734.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0 VHIGH HIGH MIDDLE-AGE
112 100132 0 Cash loans F N Y 0 202500.000 1136439.0 73611.0 1089000.0 Unaccompanied Commercial associate Secondary / secondary special Widow House / apartment 0.032561 23656.0 968.0 14666.0 4456.0 0.0 1 1 0 1 1 0 Cleaning staff 1.0 1 1 TUESDAY 14 0 0 0 0 0 0 Business Entity Type 2 0.711289 0.597192 0.0 0.0 0.0 0.0 -905.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH VHIGH SENIORS
113 100133 0 Cash loans F N N 0 67500.000 384048.0 18810.0 270000.0 Unaccompanied Working Secondary / secondary special Civil marriage With parents 0.002134 9207.0 1043.0 4069.0 1882.0 0.0 1 1 0 1 0 0 Core staff 2.0 3 3 WEDNESDAY 10 0 0 0 0 1 1 Government 0.316755 NaN 0.0 0.0 0.0 0.0 -591.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW LOW MIDDLE-AGE
114 100134 0 Revolving loans F N N 0 202500.000 180000.0 9000.0 180000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.018634 10085.0 465.0 9649.0 1666.0 0.0 1 1 0 0 0 0 Secretaries 2.0 2 2 MONDAY 17 0 0 0 0 0 0 Medicine 0.749241 0.694093 4.0 0.0 4.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 HIGH VLOW MIDDLE-AGE
115 100135 0 Cash loans M N Y 0 135000.000 391194.0 26271.0 319500.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.007330 19829.0 215.0 4730.0 3368.0 0.0 1 1 0 1 0 0 Laborers 2.0 2 2 SATURDAY 10 1 1 0 1 1 0 Business Entity Type 3 0.720640 0.320163 0.0 0.0 0.0 0.0 -1209.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0 LOW LOW SENIORS
116 100136 0 Cash loans M Y N 1 157500.000 1571931.0 49356.0 1435500.0 Unaccompanied State servant Secondary / secondary special Married House / apartment 0.046220 15949.0 239.0 1146.0 4321.0 9.0 1 1 0 1 1 1 Laborers 3.0 1 1 SUNDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.682017 NaN 0.0 0.0 0.0 0.0 -2397.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 MEDIOCRE VHIGH MIDDLE-AGE
117 100137 0 Cash loans F Y Y 0 225000.000 891072.0 45625.5 720000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.020246 20284.0 365243.0 1990.0 2556.0 2.0 1 0 0 1 0 0 NaN 2.0 3 3 FRIDAY 8 0 0 0 0 0 0 XNA 0.086719 NaN 12.0 0.0 12.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN HIGH HIGH SENIORS
118 100138 0 Cash loans M Y N 0 135000.000 824823.0 29223.0 688500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.046220 14339.0 365243.0 1104.0 4620.0 5.0 1 0 0 1 0 0 NaN 2.0 1 1 TUESDAY 14 0 0 0 0 0 0 XNA 0.607562 0.572683 0.0 0.0 0.0 0.0 -242.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0 LOW HIGH MIDDLE-AGE
119 100139 0 Cash loans F N N 1 157500.000 302341.5 24016.5 261000.0 Family Working Secondary / secondary special Married House / apartment 0.010276 13286.0 2305.0 6685.0 4955.0 0.0 1 1 0 1 0 1 NaN 3.0 2 2 WEDNESDAY 10 0 0 0 1 1 0 Business Entity Type 3 0.601408 0.096319 6.0 0.0 6.0 0.0 -1868.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 0.0 3.0 MEDIOCRE LOW MIDDLE-AGE
120 100140 0 Revolving loans F N N 0 157500.000 675000.0 33750.0 675000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.030755 9223.0 802.0 4067.0 505.0 0.0 1 1 0 1 0 0 High skill tech staff 2.0 2 2 FRIDAY 9 0 0 0 1 1 0 Business Entity Type 3 0.715861 NaN 0.0 0.0 0.0 0.0 -120.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN MEDIOCRE HIGH MIDDLE-AGE
121 100142 0 Cash loans M Y Y 1 360000.000 579195.0 27994.5 468000.0 Spouse, partner State servant Higher education Civil marriage House / apartment 0.018801 13379.0 5387.0 6869.0 4540.0 7.0 1 1 0 1 0 0 High skill tech staff 3.0 2 2 FRIDAY 11 0 0 0 0 1 1 Transport: type 2 0.064858 0.309275 2.0 0.0 1.0 0.0 -1759.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH MEDIOCRE MIDDLE-AGE
122 100143 0 Revolving loans M N Y 0 162000.000 270000.0 13500.0 270000.0 Unaccompanied State servant Higher education Married House / apartment 0.035792 22881.0 3420.0 1481.0 4802.0 0.0 1 1 0 1 0 0 Core staff 2.0 2 2 TUESDAY 10 0 0 0 0 0 0 Government 0.678125 0.683269 0.0 0.0 0.0 0.0 -1499.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0 MEDIOCRE LOW SENIORS
123 100144 0 Cash loans F N N 0 112500.000 535500.0 30028.5 535500.0 Unaccompanied Working Secondary / secondary special Separated House / apartment 0.028663 16759.0 4560.0 3079.0 296.0 0.0 1 1 0 1 0 0 Sales staff 1.0 2 2 THURSDAY 17 0 0 0 0 0 0 Self-employed 0.611637 NaN 9.0 2.0 9.0 0.0 -1282.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW MEDIOCRE SENIORS
124 100145 0 Cash loans F Y Y 1 202500.000 260725.5 16789.5 198000.0 Family Working Secondary / secondary special Separated House / apartment 0.018850 16282.0 4375.0 762.0 1494.0 8.0 1 1 0 1 0 0 Laborers 2.0 2 2 TUESDAY 11 0 0 0 0 0 0 Self-employed 0.746486 0.739412 6.0 0.0 6.0 0.0 -1782.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 HIGH LOW MIDDLE-AGE
125 100146 0 Cash loans M Y Y 0 117000.000 327024.0 12456.0 270000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.007330 22959.0 365243.0 1730.0 4047.0 13.0 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA 0.282326 0.755740 2.0 0.0 2.0 0.0 -909.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW LOW SENIORS
126 100147 0 Cash loans F N Y 1 135000.000 518562.0 22099.5 463500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.003813 16142.0 2832.0 3440.0 3970.0 0.0 1 1 0 1 0 0 Laborers 3.0 2 2 SUNDAY 7 0 0 0 0 0 0 Business Entity Type 3 0.410907 0.738020 1.0 0.0 1.0 0.0 -1198.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 4.0 LOW MEDIOCRE MIDDLE-AGE
127 100148 0 Cash loans F N Y 0 247500.000 755190.0 36459.0 675000.0 Family Commercial associate Secondary / secondary special Married House / apartment 0.008575 16340.0 8647.0 4182.0 4259.0 0.0 1 1 0 1 0 0 Medicine staff 2.0 2 2 MONDAY 17 0 0 0 0 0 0 Other 0.660559 0.211551 0.0 0.0 0.0 0.0 -2415.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH HIGH MIDDLE-AGE
128 100149 0 Cash loans M Y N 0 171000.000 539590.5 26374.5 445500.0 Family Working Secondary / secondary special Married House / apartment 0.030755 9203.0 481.0 1642.0 1639.0 4.0 1 1 0 1 0 0 Low-skill Laborers 2.0 2 2 TUESDAY 17 0 0 0 0 0 0 Self-employed 0.164463 0.092013 1.0 0.0 1.0 0.0 -395.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 HIGH MEDIOCRE MIDDLE-AGE
129 100151 0 Cash loans M N N 0 135000.000 182016.0 11772.0 144000.0 Unaccompanied Commercial associate Higher education Single / not married House / apartment 0.019101 16522.0 1451.0 4101.0 66.0 0.0 1 1 0 1 0 0 Accountants 1.0 2 2 MONDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.695219 0.729567 0.0 0.0 0.0 0.0 -398.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0 LOW VLOW SENIORS
130 100152 0 Cash loans F N Y 0 157500.000 254412.0 9720.0 166500.0 Unaccompanied Working Secondary / secondary special Married Municipal apartment 0.010032 16083.0 2764.0 7358.0 4654.0 0.0 1 1 0 1 0 0 Sales staff 2.0 2 2 WEDNESDAY 11 0 0 0 0 0 0 Self-employed 0.165442 0.749022 0.0 0.0 0.0 0.0 -1761.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 4.0 MEDIOCRE VLOW MIDDLE-AGE
131 100153 0 Cash loans M Y Y 0 202500.000 1107981.0 32526.0 967500.0 Family Working Secondary / secondary special Married House / apartment 0.031329 18413.0 1895.0 10826.0 1947.0 15.0 1 1 0 1 0 0 Drivers 2.0 2 2 SATURDAY 10 0 0 0 0 0 0 Construction 0.668020 0.353988 0.0 0.0 0.0 0.0 -1192.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0 HIGH VHIGH SENIORS
132 100154 0 Revolving loans M N N 0 144000.000 180000.0 9000.0 180000.0 Spouse, partner Working Secondary / secondary special Married House / apartment 0.030755 12157.0 2995.0 4055.0 267.0 0.0 1 1 0 1 0 0 Drivers 2.0 2 2 THURSDAY 11 0 0 0 0 0 0 Self-employed 0.494962 0.738020 0.0 0.0 0.0 0.0 -329.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 MEDIOCRE VLOW MIDDLE-AGE
133 100155 0 Cash loans M N N 0 157500.000 675000.0 21906.0 675000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.015221 11944.0 2899.0 5812.0 2722.0 0.0 1 1 1 1 1 0 Laborers 2.0 2 2 THURSDAY 11 0 1 1 0 1 1 Construction 0.282078 0.565608 0.0 0.0 0.0 0.0 -524.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 MEDIOCRE HIGH MIDDLE-AGE
134 100156 0 Cash loans F Y N 2 157500.000 945000.0 39127.5 945000.0 Family Commercial associate Secondary / secondary special Married With parents 0.018209 14235.0 5411.0 2248.0 5376.0 65.0 1 1 0 1 0 0 Medicine staff 4.0 3 3 THURSDAY 14 0 0 0 0 0 0 Medicine 0.597823 0.746300 0.0 0.0 0.0 0.0 -2703.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0 MEDIOCRE VHIGH MIDDLE-AGE
135 100157 0 Cash loans M N Y 0 180000.000 1755000.0 61132.5 1755000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.014520 16086.0 1549.0 3174.0 4584.0 0.0 1 1 0 1 0 0 NaN 2.0 2 2 MONDAY 7 0 0 0 0 0 0 Business Entity Type 3 0.147685 0.669057 3.0 0.0 3.0 0.0 0.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 2.0 HIGH VHIGH MIDDLE-AGE
136 100158 0 Cash loans M N N 0 180000.000 590337.0 27486.0 477000.0 Unaccompanied Commercial associate Incomplete higher Married House / apartment 0.022800 12348.0 1821.0 1909.0 4800.0 0.0 1 1 0 1 1 0 Core staff 2.0 2 2 WEDNESDAY 12 0 0 0 0 0 0 Culture 0.683703 NaN 0.0 0.0 0.0 0.0 -2041.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH MEDIOCRE MIDDLE-AGE
137 100159 0 Cash loans F N Y 0 225000.000 1515415.5 41800.5 1354500.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.003818 14645.0 4027.0 7154.0 1969.0 0.0 1 1 1 1 1 0 Sales staff 2.0 2 2 FRIDAY 3 0 0 0 0 0 0 Trade: type 7 0.571250 0.789880 2.0 0.0 2.0 0.0 -700.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0 HIGH VHIGH MIDDLE-AGE
139 100161 0 Cash loans F N Y 0 90000.000 370629.0 13972.5 306000.0 Family Commercial associate Secondary / secondary special Married House / apartment 0.007120 16219.0 2599.0 9329.0 4325.0 0.0 1 1 0 1 0 0 Sales staff 2.0 2 2 MONDAY 9 0 0 0 0 1 1 Self-employed 0.265312 0.317032 0.0 0.0 0.0 0.0 -306.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW LOW MIDDLE-AGE
140 100162 0 Cash loans F N Y 0 112500.000 547344.0 18216.0 472500.0 Family Pensioner Secondary / secondary special Single / not married House / apartment 0.020246 21061.0 365243.0 5439.0 4488.0 0.0 1 0 0 1 0 0 NaN 1.0 3 3 MONDAY 6 0 0 0 0 0 0 XNA 0.598243 0.232725 1.0 1.0 1.0 1.0 -1594.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW MEDIOCRE SENIORS
141 100163 0 Cash loans F N Y 0 130500.000 550489.5 19773.0 454500.0 Unaccompanied Working Higher education Separated House / apartment 0.018209 19718.0 5717.0 8940.0 3200.0 0.0 1 1 1 1 1 0 NaN 1.0 3 3 FRIDAY 11 0 0 0 0 0 0 Other 0.390993 0.095070 5.0 0.0 5.0 0.0 -1691.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW MEDIOCRE SENIORS
142 100164 0 Cash loans F Y N 1 450000.000 407434.5 43362.0 387000.0 Unaccompanied Commercial associate Higher education Civil marriage House / apartment 0.010500 16097.0 2630.0 110.0 3852.0 3.0 1 1 0 1 0 0 Core staff 3.0 3 3 WEDNESDAY 17 0 0 0 0 0 0 Self-employed 0.622030 0.328063 0.0 0.0 0.0 0.0 -845.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH LOW MIDDLE-AGE
143 100165 0 Cash loans F Y Y 0 175500.000 1293502.5 35568.0 1129500.0 Family Pensioner Secondary / secondary special Married House / apartment 0.018850 21961.0 365243.0 8887.0 4379.0 9.0 1 0 0 1 1 0 NaN 2.0 2 2 TUESDAY 16 0 0 0 0 0 0 XNA 0.646689 0.812823 0.0 0.0 0.0 0.0 -396.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 HIGH VHIGH SENIORS
144 100166 0 Cash loans F N Y 3 58500.000 152820.0 15241.5 135000.0 Unaccompanied Working Secondary / secondary special Married Municipal apartment 0.025164 14359.0 1894.0 2908.0 4480.0 0.0 1 1 1 1 0 0 Core staff 5.0 2 2 FRIDAY 8 0 0 0 0 1 1 Government 0.524818 0.156640 2.0 0.0 2.0 0.0 -160.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0 VLOW VLOW MIDDLE-AGE
145 100167 0 Cash loans F N Y 0 180000.000 427500.0 46170.0 427500.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.026392 15127.0 1039.0 4221.0 652.0 0.0 1 1 0 1 1 0 NaN 2.0 2 2 FRIDAY 16 0 0 0 0 1 1 Hotel 0.551308 0.161463 0.0 0.0 0.0 0.0 -1914.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH LOW MIDDLE-AGE
146 100173 0 Cash loans F N N 0 117000.000 781920.0 26725.5 675000.0 Unaccompanied Working Higher education Single / not married House / apartment 0.024610 11633.0 2596.0 5430.0 3851.0 0.0 1 1 0 1 1 0 Core staff 1.0 2 2 TUESDAY 17 0 0 0 0 0 0 Government 0.636395 0.452534 1.0 0.0 1.0 0.0 -1166.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW HIGH MIDDLE-AGE
147 100174 0 Revolving loans F N Y 2 180000.000 225000.0 11250.0 225000.0 Spouse, partner Working Incomplete higher Married Municipal apartment 0.032561 14597.0 1997.0 8491.0 3681.0 0.0 1 1 1 1 1 0 Sales staff 4.0 1 1 FRIDAY 15 0 0 0 0 0 0 Self-employed 0.704793 0.565608 0.0 0.0 0.0 0.0 -307.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 HIGH VLOW MIDDLE-AGE
148 100175 0 Cash loans F N Y 1 202500.000 1251072.0 45067.5 1080000.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.010147 16296.0 266.0 164.0 4568.0 0.0 1 1 0 1 0 0 NaN 3.0 2 2 TUESDAY 19 0 0 0 0 0 0 Industry: type 7 0.763649 0.329655 0.0 0.0 0.0 0.0 -1683.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0 HIGH VHIGH MIDDLE-AGE
149 100176 0 Cash loans F N Y 0 135000.000 1078200.0 31653.0 900000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010006 17682.0 4319.0 2630.0 1211.0 0.0 1 1 0 1 1 0 Laborers 2.0 2 2 WEDNESDAY 6 0 0 0 0 0 0 Government 0.585291 0.816092 1.0 0.0 1.0 0.0 -131.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW VHIGH SENIORS
150 100177 0 Cash loans M N N 1 112500.000 312682.5 33309.0 297000.0 Family Working Secondary / secondary special Civil marriage House / apartment 0.010643 14311.0 334.0 8401.0 4248.0 0.0 1 1 1 1 0 0 NaN 3.0 2 2 THURSDAY 10 0 1 1 0 1 1 Self-employed 0.603655 0.595456 0.0 0.0 0.0 0.0 -328.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW LOW MIDDLE-AGE
151 100178 0 Cash loans F N Y 0 119250.000 679500.0 28917.0 679500.0 Unaccompanied Working Higher education Separated House / apartment 0.008866 19286.0 1485.0 7887.0 2835.0 0.0 1 1 1 1 1 0 NaN 1.0 2 2 MONDAY 13 0 0 0 0 0 0 Self-employed 0.765125 0.417100 0.0 0.0 0.0 0.0 -2085.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW HIGH SENIORS
152 100179 0 Cash loans F Y N 0 202500.000 675000.0 53329.5 675000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.031329 11375.0 2311.0 180.0 2009.0 4.0 1 1 0 1 0 0 Managers 2.0 2 2 MONDAY 13 0 0 0 0 0 0 Trade: type 7 0.616156 0.673830 0.0 0.0 0.0 0.0 -1792.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 4.0 HIGH HIGH MIDDLE-AGE
153 100180 0 Cash loans F N Y 1 315000.000 1288350.0 37800.0 1125000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.020713 15581.0 4940.0 9520.0 5239.0 0.0 1 1 0 1 0 0 Accountants 3.0 3 2 FRIDAY 15 0 0 0 0 1 1 Transport: type 4 0.509852 0.675413 1.0 0.0 1.0 0.0 -1020.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 3.0 VHIGH VHIGH MIDDLE-AGE
155 100182 0 Revolving loans F N Y 1 112500.000 135000.0 6750.0 135000.0 Unaccompanied Working Secondary / secondary special Separated House / apartment 0.020246 13558.0 4758.0 6426.0 4360.0 0.0 1 1 0 1 0 0 Core staff 2.0 3 3 THURSDAY 8 0 0 0 0 0 0 Government 0.751869 0.420611 0.0 0.0 0.0 0.0 -1933.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 LOW VLOW MIDDLE-AGE
156 100183 0 Cash loans F N Y 0 103500.000 239850.0 23494.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.018634 24729.0 365243.0 4047.0 4523.0 0.0 1 0 0 1 1 0 NaN 1.0 2 2 THURSDAY 12 0 0 0 0 0 0 XNA 0.600433 0.795803 0.0 0.0 0.0 0.0 -1183.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW VLOW SENIORS
157 100185 0 Cash loans M N Y 0 58500.000 187704.0 10903.5 148500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.018029 20215.0 365243.0 3508.0 3558.0 0.0 1 0 0 1 0 0 NaN 2.0 3 2 SATURDAY 7 0 0 0 0 0 0 XNA 0.557348 0.771362 1.0 0.0 1.0 0.0 -1792.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0 VLOW VLOW SENIORS
158 100186 0 Cash loans F N Y 0 117000.000 269550.0 13095.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.007020 21861.0 365243.0 830.0 4830.0 0.0 1 0 0 1 1 0 NaN 1.0 2 2 TUESDAY 12 0 0 0 0 0 0 XNA 0.641304 0.519097 4.0 0.0 4.0 0.0 -2025.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW LOW SENIORS
159 100188 0 Cash loans F N N 1 225000.000 1325475.0 56290.5 1125000.0 Unaccompanied Working Higher education Married Office apartment 0.002506 15323.0 5785.0 5368.0 3602.0 0.0 1 1 0 1 0 0 Core staff 3.0 2 2 FRIDAY 4 0 0 0 0 1 1 School 0.702463 0.546023 0.0 0.0 0.0 0.0 -573.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0 HIGH VHIGH MIDDLE-AGE
160 100189 0 Cash loans F N Y 0 135000.000 263844.0 14440.5 189000.0 Unaccompanied Working Incomplete higher Separated House / apartment 0.020713 16807.0 1094.0 8184.0 339.0 0.0 1 1 0 1 1 0 Sales staff 1.0 3 2 THURSDAY 6 0 0 0 0 1 1 Trade: type 7 0.010272 NaN 1.0 0.0 1.0 0.0 -581.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW LOW SENIORS
161 100190 0 Cash loans M Y N 0 162000.000 263686.5 24781.5 238500.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.022625 13972.0 4472.0 464.0 4529.0 3.0 1 1 0 1 1 0 Laborers 2.0 2 2 THURSDAY 16 0 0 0 0 0 0 Government 0.585859 0.788681 5.0 0.0 5.0 0.0 -1161.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 MEDIOCRE LOW MIDDLE-AGE
162 100191 0 Cash loans F N Y 0 112500.000 544491.0 17563.5 454500.0 Unaccompanied Working Higher education Separated House / apartment 0.030755 21819.0 8355.0 8440.0 4474.0 0.0 1 1 0 1 0 0 High skill tech staff 1.0 2 2 TUESDAY 18 0 0 0 0 0 0 Business Entity Type 2 0.688792 0.522697 0.0 0.0 0.0 0.0 -2576.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW MEDIOCRE SENIORS
164 100193 0 Cash loans F Y N 0 225000.000 296280.0 15124.5 225000.0 Unaccompanied Commercial associate Secondary / secondary special Separated House / apartment 0.020246 17879.0 940.0 2294.0 1441.0 15.0 1 1 1 1 0 0 NaN 1.0 3 3 SUNDAY 15 0 0 0 0 0 0 Other 0.748854 0.508287 1.0 0.0 1.0 0.0 -2553.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 6.0 HIGH LOW SENIORS
165 100194 0 Revolving loans F N Y 2 157500.000 315000.0 15750.0 315000.0 Unaccompanied Working Higher education Civil marriage House / apartment 0.020246 12805.0 5258.0 3262.0 3884.0 0.0 1 1 0 1 1 0 Laborers 4.0 3 3 WEDNESDAY 11 0 0 0 0 0 0 Industry: type 3 0.111767 0.192942 0.0 0.0 0.0 0.0 -215.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0 MEDIOCRE LOW MIDDLE-AGE
166 100195 0 Cash loans M Y Y 0 90000.000 336150.0 9373.5 202500.0 Unaccompanied Commercial associate Higher education Single / not married House / apartment 0.030755 10887.0 341.0 5333.0 2828.0 8.0 1 1 0 1 0 0 NaN 1.0 2 2 FRIDAY 12 0 0 0 0 1 1 Trade: type 3 0.547773 0.749022 0.0 0.0 0.0 0.0 -114.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW LOW MIDDLE-AGE
167 100196 0 Cash loans F Y Y 0 164250.000 755190.0 32125.5 675000.0 Unaccompanied Working Higher education Married House / apartment 0.018029 11568.0 2331.0 1082.0 824.0 8.0 1 1 0 1 0 0 Secretaries 2.0 3 3 TUESDAY 7 0 0 0 0 0 0 Construction 0.593340 0.303146 0.0 0.0 0.0 0.0 -1606.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 4.0 HIGH HIGH MIDDLE-AGE
168 100197 0 Cash loans F N N 2 157500.000 497520.0 28692.0 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.003813 12019.0 1148.0 682.0 2588.0 0.0 1 1 0 1 0 0 Sales staff 4.0 2 2 MONDAY 11 0 0 0 0 0 0 Self-employed 0.472286 NaN 3.0 0.0 3.0 0.0 -2575.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN MEDIOCRE MEDIOCRE MIDDLE-AGE
169 100198 0 Cash loans M Y Y 1 135000.000 531000.0 32616.0 531000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.028663 13116.0 1786.0 7237.0 3168.0 1.0 1 1 0 1 0 0 Drivers 3.0 2 2 MONDAY 10 0 0 0 0 0 0 Self-employed 0.748916 0.639708 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW MEDIOCRE MIDDLE-AGE
170 100199 0 Cash loans F N Y 0 112500.000 269550.0 18891.0 225000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.022625 20858.0 472.0 8167.0 4411.0 0.0 1 1 0 1 0 0 Cleaning staff 2.0 2 2 WEDNESDAY 15 0 0 0 0 1 1 Industry: type 3 0.704424 0.276441 0.0 0.0 0.0 0.0 -738.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW LOW SENIORS
171 100200 0 Cash loans F N N 0 216000.000 450000.0 27193.5 450000.0 Unaccompanied Working Secondary / secondary special Widow House / apartment 0.026392 16891.0 2730.0 7519.0 434.0 0.0 1 1 1 1 1 0 NaN 1.0 2 2 MONDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.640041 0.694093 4.0 0.0 3.0 0.0 -332.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 HIGH MEDIOCRE SENIORS
172 100201 0 Cash loans F N Y 1 180000.000 675000.0 36747.0 675000.0 Unaccompanied Commercial associate Higher education Single / not married House / apartment 0.035792 12147.0 2178.0 6189.0 1719.0 0.0 1 1 0 1 0 0 Core staff 2.0 2 2 SATURDAY 10 0 0 0 0 0 0 Trade: type 2 0.601560 0.350696 10.0 0.0 10.0 0.0 -1754.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 3.0 6.0 HIGH HIGH MIDDLE-AGE
173 100202 0 Cash loans F N N 0 67500.000 127350.0 6597.0 112500.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.019101 22994.0 365243.0 9705.0 4078.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 12 0 0 0 0 0 0 XNA 0.121906 0.269286 2.0 0.0 2.0 0.0 -632.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 5.0 VLOW VLOW SENIORS
174 100203 0 Cash loans F N N 0 54000.000 119925.0 11097.0 112500.0 Other_B Pensioner Secondary / secondary special Widow House / apartment 0.010276 25104.0 365243.0 4182.0 4210.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 9 0 0 0 0 0 0 XNA 0.640514 0.544235 0.0 0.0 0.0 0.0 -2.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW VLOW SENIORS
175 100204 0 Cash loans F N Y 1 81000.000 532494.0 30699.0 454500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.009334 19525.0 365243.0 5077.0 1589.0 0.0 1 0 0 1 1 0 NaN 3.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA 0.171535 0.540654 0.0 0.0 0.0 0.0 -7.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0 VLOW MEDIOCRE SENIORS
176 100205 0 Cash loans F N Y 0 63000.000 808650.0 26217.0 675000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.018209 18302.0 1373.0 10539.0 1210.0 0.0 1 1 0 1 0 0 Laborers 2.0 3 3 TUESDAY 11 0 0 0 0 0 0 Housing 0.046216 0.549597 0.0 0.0 0.0 0.0 -1111.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW HIGH SENIORS
177 100206 0 Cash loans M Y N 1 157500.000 318528.0 25294.5 252000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.022800 12027.0 1720.0 3867.0 4420.0 12.0 1 1 0 1 1 1 Drivers 3.0 2 2 FRIDAY 8 0 0 0 0 1 1 Business Entity Type 3 0.164259 NaN 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN MEDIOCRE LOW MIDDLE-AGE
178 100207 0 Cash loans F N Y 0 157500.000 700830.0 22738.5 585000.0 Spouse, partner Working Secondary / secondary special Civil marriage House / apartment 0.018850 16518.0 3592.0 3627.0 44.0 0.0 1 1 0 1 0 0 Waiters/barmen staff 2.0 2 2 SATURDAY 10 0 0 0 0 0 0 Government 0.671783 0.593718 0.0 0.0 0.0 0.0 -2709.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 MEDIOCRE HIGH SENIORS
179 100208 0 Cash loans M N N 1 180000.000 888840.0 29016.0 675000.0 Family Commercial associate Secondary / secondary special Civil marriage House / apartment 0.007114 12648.0 2802.0 2109.0 4594.0 0.0 1 1 0 1 0 0 Laborers 3.0 2 2 FRIDAY 11 0 0 0 0 0 0 Self-employed 0.634455 0.706205 0.0 0.0 0.0 0.0 -1127.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 3.0 2.0 HIGH HIGH MIDDLE-AGE
181 100210 0 Cash loans F N Y 1 202500.000 771493.5 25627.5 666000.0 Unaccompanied Working Higher education Separated House / apartment 0.005313 16475.0 17.0 1225.0 25.0 0.0 1 1 0 1 0 0 Core staff 2.0 2 2 MONDAY 12 0 0 0 0 0 0 School 0.621978 0.744932 0.0 0.0 0.0 0.0 -1488.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH HIGH SENIORS
182 100211 0 Cash loans M N N 3 225000.000 746280.0 49873.5 675000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.006233 14033.0 328.0 544.0 554.0 0.0 1 1 1 1 0 0 Cooking staff 5.0 2 2 TUESDAY 14 0 0 0 1 1 0 Other 0.575086 0.307737 0.0 0.0 0.0 0.0 -534.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0 HIGH HIGH MIDDLE-AGE
183 100213 0 Cash loans F N N 2 49500.000 278460.0 19930.5 225000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.031329 13873.0 1282.0 632.0 5042.0 0.0 1 1 0 1 0 1 Laborers 4.0 2 2 SUNDAY 10 0 0 0 0 0 0 Industry: type 3 0.495366 0.581484 0.0 0.0 0.0 0.0 -2690.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0 VLOW LOW MIDDLE-AGE
185 100215 0 Cash loans F Y N 0 90000.000 227520.0 8172.0 180000.0 Unaccompanied Pensioner Secondary / secondary special Civil marriage House / apartment 0.025164 21703.0 365243.0 9849.0 4980.0 11.0 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 13 0 0 0 0 0 0 XNA 0.265312 0.641368 0.0 0.0 0.0 0.0 -2028.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 5.0 0.0 5.0 VLOW VLOW SENIORS
186 100216 0 Cash loans F N N 0 90000.000 67500.0 6705.0 67500.0 Unaccompanied Working Secondary / secondary special Married Municipal apartment 0.018209 19785.0 9919.0 9342.0 3310.0 0.0 1 1 1 1 1 0 Sales staff 2.0 3 3 TUESDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.709453 NaN 1.0 0.0 1.0 0.0 -1.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW VLOW SENIORS
187 100217 0 Cash loans F N N 0 180000.000 254700.0 25321.5 225000.0 Family Working Secondary / secondary special Separated House / apartment 0.004960 13620.0 1403.0 5451.0 4225.0 0.0 1 1 0 1 0 1 Laborers 1.0 2 2 MONDAY 14 0 0 0 0 0 0 Self-employed 0.391436 0.427657 1.0 0.0 1.0 0.0 -252.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0 HIGH VLOW MIDDLE-AGE
188 100218 0 Cash loans M Y Y 0 337500.000 876078.0 49050.0 765000.0 Unaccompanied Commercial associate Higher education Single / not married House / apartment 0.072508 13210.0 225.0 7318.0 4397.0 3.0 1 1 0 1 0 0 Drivers 1.0 1 1 SATURDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.749409 0.337673 0.0 0.0 0.0 0.0 -382.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VHIGH HIGH MIDDLE-AGE
189 100219 0 Cash loans M N Y 1 315000.000 2250000.0 83515.5 2250000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.032561 11177.0 1514.0 64.0 2793.0 0.0 1 1 0 1 0 1 Core staff 3.0 1 1 FRIDAY 16 0 0 0 0 0 0 Business Entity Type 3 0.693358 NaN 0.0 0.0 0.0 0.0 -926.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 VHIGH VHIGH MIDDLE-AGE
190 100220 0 Cash loans F N Y 0 225000.000 1040985.0 30568.5 909000.0 Unaccompanied Commercial associate Higher education Single / not married House / apartment 0.003818 14823.0 185.0 1147.0 4138.0 0.0 1 1 0 1 0 0 Sales staff 1.0 2 2 TUESDAY 6 0 0 0 0 0 0 Self-employed 0.626339 0.607557 2.0 0.0 2.0 0.0 -1898.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0 HIGH VHIGH MIDDLE-AGE
191 100221 0 Cash loans F N Y 0 225000.000 684054.0 77494.5 630000.0 Unaccompanied Commercial associate Secondary / secondary special Widow House / apartment 0.006629 23656.0 11883.0 7125.0 4681.0 0.0 1 1 0 1 1 0 NaN 1.0 2 2 TUESDAY 9 0 0 0 0 0 0 Bank 0.592459 0.736623 0.0 0.0 0.0 0.0 -584.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 4.0 HIGH HIGH SENIORS
192 100224 0 Cash loans F Y Y 2 225000.000 1256400.0 36864.0 900000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.019689 14091.0 5664.0 8127.0 2462.0 7.0 1 1 0 1 0 0 NaN 4.0 2 2 TUESDAY 9 0 0 0 0 0 0 Business Entity Type 3 0.598632 0.344155 4.0 2.0 4.0 2.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 HIGH VHIGH MIDDLE-AGE
193 100225 0 Cash loans M Y N 2 157500.000 720000.0 28552.5 720000.0 Unaccompanied Commercial associate Secondary / secondary special Married With parents 0.030755 14144.0 4516.0 1516.0 4616.0 7.0 1 1 0 1 1 0 Sales staff 4.0 2 2 THURSDAY 10 0 0 0 0 1 1 Self-employed 0.722178 0.634706 0.0 0.0 0.0 0.0 -1450.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 MEDIOCRE HIGH MIDDLE-AGE
194 100226 0 Revolving loans F N N 2 112500.000 270000.0 13500.0 270000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.009657 13584.0 680.0 350.0 2097.0 0.0 1 1 0 1 0 0 Sales staff 4.0 2 2 TUESDAY 16 0 0 0 0 0 0 Self-employed 0.636572 NaN 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW LOW MIDDLE-AGE
195 100227 0 Cash loans M N N 0 292500.000 1024740.0 55719.0 900000.0 Unaccompanied Working Higher education Single / not married House / apartment 0.006207 10010.0 240.0 4629.0 2680.0 0.0 1 1 1 1 1 0 Managers 1.0 2 2 WEDNESDAY 14 0 0 0 1 1 0 Self-employed 0.634896 0.297087 0.0 0.0 0.0 0.0 -964.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0 VHIGH VHIGH MIDDLE-AGE
196 100228 0 Cash loans F N N 1 121500.000 1102500.0 32364.0 1102500.0 Unaccompanied State servant Secondary / secondary special Married Municipal apartment 0.009657 13957.0 410.0 5038.0 4630.0 0.0 1 1 1 1 1 0 Laborers 3.0 2 2 MONDAY 13 0 0 0 0 0 0 Business Entity Type 2 0.408871 0.425893 0.0 0.0 0.0 0.0 -317.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 4.0 LOW VHIGH MIDDLE-AGE
197 100229 0 Cash loans F N Y 0 157500.000 544491.0 16047.0 454500.0 Family Working Secondary / secondary special Married House / apartment 0.010147 17947.0 5025.0 11812.0 1505.0 0.0 1 1 0 1 0 0 Medicine staff 2.0 2 2 TUESDAY 17 0 0 0 0 0 0 Medicine 0.641012 0.759712 0.0 0.0 0.0 0.0 -122.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 MEDIOCRE MEDIOCRE SENIORS
198 100230 0 Revolving loans F N N 0 135000.000 405000.0 20250.0 405000.0 Children Working Secondary / secondary special Married House / apartment 0.008474 19070.0 837.0 6789.0 2595.0 0.0 1 1 1 1 0 0 Sales staff 2.0 2 2 WEDNESDAY 11 0 0 0 0 0 0 Self-employed 0.371543 0.180888 10.0 1.0 10.0 0.0 -481.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW LOW SENIORS
199 100231 0 Cash loans M Y Y 1 108000.000 912240.0 30276.0 787500.0 Spouse, partner Commercial associate Secondary / secondary special Married House / apartment 0.018634 17850.0 2899.0 2880.0 1400.0 9.0 1 1 0 1 0 0 Drivers 3.0 2 2 THURSDAY 9 0 0 0 0 1 1 Industry: type 3 0.497301 0.832785 1.0 0.0 1.0 0.0 0.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 1.0 0.0 0.0 0.0 2.0 LOW VHIGH SENIORS
200 100233 0 Cash loans F N Y 0 216000.000 679671.0 28926.0 607500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010966 18341.0 701.0 9730.0 1876.0 0.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Transport: type 4 0.201584 0.609276 1.0 1.0 1.0 0.0 -2071.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 8.0 HIGH HIGH SENIORS
201 100234 0 Revolving loans F N N 0 67500.000 180000.0 9000.0 180000.0 Unaccompanied Working Secondary / secondary special Widow With parents 0.003069 16614.0 551.0 6098.0 166.0 0.0 1 1 0 1 0 0 Core staff 1.0 3 3 THURSDAY 12 0 0 0 0 0 0 Hotel 0.583926 0.716570 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 0.0 VLOW VLOW SENIORS
202 100235 0 Cash loans F N Y 0 135000.000 364896.0 19926.0 315000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.016612 15887.0 468.0 4604.0 3739.0 0.0 1 1 0 1 0 0 Cooking staff 2.0 2 2 WEDNESDAY 12 0 0 0 1 0 1 Military 0.505288 0.218859 1.0 0.0 1.0 0.0 -736.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW LOW MIDDLE-AGE
203 100236 0 Cash loans M Y Y 0 112500.000 312768.0 20353.5 270000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.028663 23187.0 1896.0 5213.0 4265.0 21.0 1 1 0 1 0 0 Laborers 2.0 2 2 TUESDAY 16 0 0 0 0 1 1 Business Entity Type 2 0.430618 NaN 2.0 0.0 2.0 0.0 -149.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW LOW SENIORS
204 100237 0 Cash loans F N N 2 144000.000 1288350.0 37800.0 1125000.0 Unaccompanied Working Secondary / secondary special Civil marriage Rented apartment 0.010966 13803.0 281.0 640.0 3215.0 0.0 1 1 1 1 1 0 Core staff 4.0 2 2 SATURDAY 11 1 1 0 1 1 0 Trade: type 3 0.547036 0.217629 1.0 0.0 1.0 0.0 -533.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 MEDIOCRE VHIGH MIDDLE-AGE
205 100238 0 Cash loans M Y Y 2 135000.000 781920.0 50148.0 675000.0 Spouse, partner Commercial associate Secondary / secondary special Married House / apartment 0.035792 12994.0 1330.0 2588.0 1202.0 21.0 1 1 0 1 0 0 Laborers 4.0 2 2 SUNDAY 12 0 0 0 0 1 1 Business Entity Type 3 0.645634 0.654529 0.0 0.0 0.0 0.0 -334.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW HIGH MIDDLE-AGE
206 100239 0 Cash loans F N Y 1 225000.000 1483231.5 51687.0 1354500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010147 20191.0 1699.0 6040.0 3723.0 0.0 1 1 0 1 0 1 Accountants 3.0 2 2 MONDAY 15 0 0 0 0 0 0 Business Entity Type 3 0.757328 0.130947 2.0 1.0 2.0 0.0 -1864.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0 HIGH VHIGH SENIORS
207 100240 0 Cash loans M N Y 2 135000.000 590337.0 28530.0 477000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.018029 11978.0 3947.0 6005.0 4099.0 0.0 1 1 0 1 1 0 Laborers 4.0 3 2 SUNDAY 8 0 0 0 0 0 0 Housing 0.628532 0.121408 4.0 1.0 4.0 1.0 -155.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0 LOW MEDIOCRE MIDDLE-AGE
208 100242 0 Cash loans M Y Y 0 90000.000 101880.0 10827.0 90000.0 Unaccompanied Working Secondary / secondary special Married Municipal apartment 0.005144 20945.0 7359.0 7395.0 4287.0 11.0 1 1 1 1 0 0 Drivers 2.0 2 2 SATURDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.718314 0.380800 0.0 0.0 0.0 0.0 -2278.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW VLOW SENIORS
209 100243 0 Cash loans M N Y 0 112500.000 161730.0 13833.0 135000.0 Unaccompanied Working Higher education Married House / apartment 0.028663 9720.0 573.0 689.0 2193.0 0.0 1 1 1 1 1 0 Laborers 2.0 2 2 SUNDAY 13 0 0 0 0 1 1 Business Entity Type 3 0.394075 0.454321 3.0 0.0 3.0 0.0 -1197.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 LOW VLOW MIDDLE-AGE
210 100244 0 Cash loans M N N 1 247500.000 447768.0 35505.0 405000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010006 17103.0 5021.0 221.0 647.0 0.0 1 1 1 1 0 0 Laborers 3.0 2 2 SATURDAY 14 0 0 0 0 0 0 Industry: type 9 0.103570 0.742182 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH MEDIOCRE SENIORS
212 100247 0 Cash loans F N Y 0 225000.000 402939.0 19381.5 306000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010147 19914.0 3408.0 7647.0 3444.0 0.0 1 1 0 1 1 0 Laborers 2.0 2 2 FRIDAY 11 0 1 1 0 1 1 Business Entity Type 1 0.657784 0.196334 2.0 1.0 2.0 0.0 -1498.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0 HIGH LOW SENIORS
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307291 456017 0 Cash loans F N N 2 54000.000 81504.0 8775.0 72000.0 Children Working Secondary / secondary special Married With parents 0.018850 9961.0 368.0 2754.0 1352.0 0.0 1 1 0 1 0 0 Medicine staff 4.0 2 2 SATURDAY 15 0 0 0 1 1 0 Kindergarten 0.267573 0.045992 0.0 0.0 0.0 0.0 -499.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 0.0 3.0 VLOW VLOW MIDDLE-AGE
307292 456018 0 Cash loans F N Y 1 310500.000 645903.0 39645.0 598500.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.046220 16091.0 184.0 9681.0 4129.0 0.0 1 1 0 1 0 0 Laborers 3.0 1 1 TUESDAY 12 0 0 0 0 1 1 Business Entity Type 1 0.692190 0.607557 1.0 0.0 1.0 0.0 -2249.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH HIGH MIDDLE-AGE
307293 456019 0 Cash loans M Y Y 1 157500.000 900000.0 50256.0 900000.0 Unaccompanied Pensioner Higher education Married House / apartment 0.005084 17523.0 365243.0 9330.0 1066.0 3.0 1 0 0 1 1 0 NaN 3.0 2 2 THURSDAY 16 0 0 0 0 0 0 XNA 0.733269 0.537070 0.0 0.0 0.0 0.0 -443.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 5.0 MEDIOCRE HIGH SENIORS
307294 456020 0 Cash loans F N Y 0 180000.000 1147500.0 59544.0 1147500.0 Children Pensioner Secondary / secondary special Married House / apartment 0.010643 23047.0 365243.0 3368.0 4877.0 0.0 1 0 0 1 1 0 NaN 2.0 2 2 SATURDAY 15 0 0 0 0 0 0 XNA 0.646109 0.771362 0.0 0.0 0.0 0.0 -2058.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH VHIGH SENIORS
307295 456021 0 Revolving loans F N Y 0 180000.000 405000.0 20250.0 405000.0 Unaccompanied Working Secondary / secondary special Widow House / apartment 0.022800 20308.0 1568.0 9735.0 3437.0 0.0 1 1 0 1 1 1 Laborers 1.0 2 2 WEDNESDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.613686 0.275000 2.0 0.0 2.0 0.0 -203.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 HIGH LOW SENIORS
307296 456022 0 Cash loans F N Y 1 90000.000 1005120.0 29520.0 720000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.035792 10509.0 2902.0 16.0 1894.0 0.0 1 1 0 1 1 0 Core staff 3.0 2 2 FRIDAY 16 0 0 0 0 1 1 Medicine 0.410971 0.508287 4.0 0.0 4.0 0.0 -397.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 0.0 VLOW VHIGH MIDDLE-AGE
307297 456023 0 Cash loans F N Y 0 261000.000 152820.0 16344.0 135000.0 Unaccompanied State servant Higher education Single / not married House / apartment 0.002042 16811.0 943.0 6.0 360.0 0.0 1 1 0 1 0 0 Managers 1.0 3 3 FRIDAY 14 0 0 0 0 0 0 Telecom 0.524670 0.673830 1.0 0.0 1.0 0.0 -782.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VHIGH VLOW SENIORS
307298 456024 0 Cash loans F N N 0 121500.000 808650.0 26217.0 675000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.030755 17875.0 2217.0 1939.0 1425.0 0.0 1 1 0 1 0 0 Security staff 1.0 2 2 MONDAY 11 0 0 0 0 1 1 Security 0.633079 0.680139 0.0 0.0 0.0 0.0 -2034.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 6.0 0.0 2.0 LOW HIGH SENIORS
307299 456025 0 Revolving loans F N Y 0 144000.000 180000.0 9000.0 180000.0 Family Working Higher education Single / not married House / apartment 0.004960 20650.0 10664.0 11.0 4211.0 0.0 1 1 0 1 0 0 NaN 1.0 2 2 SATURDAY 11 0 0 0 0 0 0 School 0.577878 0.669057 0.0 0.0 0.0 0.0 -1218.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 1.0 0.0 0.0 0.0 2.0 MEDIOCRE VLOW SENIORS
307300 456026 0 Cash loans M Y Y 0 225000.000 1035000.0 30393.0 1035000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.026392 14547.0 5097.0 515.0 4804.0 0.0 1 1 0 1 0 0 Drivers 2.0 2 2 TUESDAY 14 0 0 0 0 0 0 Industry: type 9 0.717087 0.295583 2.0 1.0 2.0 1.0 -1715.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 3.0 HIGH VHIGH MIDDLE-AGE
307301 456027 0 Cash loans F N Y 0 117000.000 625356.0 20173.5 522000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.018801 23694.0 365243.0 7501.0 4435.0 0.0 1 0 0 1 1 0 NaN 1.0 2 2 SATURDAY 8 0 0 0 0 0 0 XNA 0.042862 0.554947 0.0 0.0 0.0 0.0 -742.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW HIGH SENIORS
307302 456029 0 Cash loans F N Y 0 81000.000 269550.0 14751.0 225000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.025164 13114.0 1218.0 5880.0 3996.0 0.0 1 1 1 1 1 0 Laborers 1.0 2 2 MONDAY 14 0 0 0 0 1 1 Agriculture 0.160405 0.239226 5.0 0.0 5.0 0.0 -361.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW LOW MIDDLE-AGE
307303 456030 0 Cash loans F N N 0 112500.000 441481.5 13513.5 364500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.030755 14026.0 465.0 3200.0 743.0 0.0 1 1 0 1 0 0 Core staff 2.0 2 2 MONDAY 11 0 0 0 0 1 1 School 0.715184 0.609276 2.0 0.0 2.0 0.0 -1721.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 4.0 LOW MEDIOCRE MIDDLE-AGE
307304 456031 0 Cash loans M N N 0 270000.000 153000.0 14031.0 153000.0 Unaccompanied Working Higher education Single / not married With parents 0.014520 10074.0 601.0 3941.0 2736.0 0.0 1 1 1 1 1 0 NaN 1.0 2 2 THURSDAY 11 0 0 0 0 0 0 Transport: type 4 0.642003 NaN 1.0 0.0 1.0 0.0 -322.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 VHIGH VLOW MIDDLE-AGE
307305 456032 0 Cash loans F N N 0 225000.000 536917.5 28737.0 463500.0 Unaccompanied Working Secondary / secondary special Married Municipal apartment 0.010500 16229.0 2885.0 1070.0 5112.0 0.0 1 1 0 1 0 0 Laborers 2.0 3 3 THURSDAY 10 0 0 0 0 1 1 Business Entity Type 3 0.762482 0.595456 6.0 0.0 6.0 0.0 -2567.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 HIGH MEDIOCRE MIDDLE-AGE
307306 456033 0 Cash loans F Y Y 1 117000.000 1089000.0 31842.0 1089000.0 Unaccompanied Working Secondary / secondary special Civil marriage With parents 0.007020 13412.0 3078.0 1414.0 4943.0 7.0 1 1 1 1 0 0 Core staff 3.0 2 2 THURSDAY 12 0 0 0 0 0 0 Military 0.661623 NaN 1.0 1.0 1.0 1.0 -534.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW VHIGH MIDDLE-AGE
307308 456035 0 Cash loans M Y Y 2 180000.000 1027327.5 43654.5 945000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.002042 16556.0 3154.0 3803.0 106.0 6.0 1 1 0 1 0 0 NaN 4.0 3 3 FRIDAY 14 0 0 0 0 0 0 Trade: type 7 0.114563 NaN 2.0 0.0 1.0 0.0 -358.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN HIGH VHIGH SENIORS
307309 456036 0 Cash loans M Y N 2 270000.000 900000.0 40671.0 900000.0 Unaccompanied Working Higher education Civil marriage Municipal apartment 0.002506 13578.0 2430.0 997.0 1265.0 17.0 1 1 0 1 0 0 Laborers 4.0 2 2 WEDNESDAY 1 0 0 0 0 0 0 Business Entity Type 3 0.462705 0.362277 0.0 0.0 0.0 0.0 -308.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VHIGH HIGH MIDDLE-AGE
307310 456037 0 Cash loans F N Y 0 202500.000 1075500.0 34825.5 1075500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.026392 21120.0 365243.0 257.0 4121.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 11 0 0 0 0 0 0 XNA 0.433607 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN HIGH VHIGH SENIORS
307311 456038 0 Revolving loans F N N 1 121500.000 382500.0 19125.0 382500.0 Unaccompanied Commercial associate Higher education Single / not married House / apartment 0.009175 16584.0 4513.0 3466.0 124.0 0.0 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 18 0 0 0 0 1 1 Business Entity Type 3 0.730342 0.816092 1.0 1.0 1.0 0.0 -1451.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW LOW SENIORS
307312 456039 0 Cash loans F N Y 0 144000.000 203760.0 20281.5 180000.0 Unaccompanied State servant Secondary / secondary special Separated With parents 0.006629 11269.0 3316.0 5421.0 2171.0 0.0 1 1 1 1 1 0 Medicine staff 1.0 2 2 SATURDAY 5 0 0 0 0 0 0 Medicine 0.536108 0.483050 1.0 0.0 1.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 MEDIOCRE VLOW MIDDLE-AGE
307313 456040 0 Cash loans M Y Y 0 157500.000 755190.0 38686.5 675000.0 Unaccompanied Working Higher education Married House / apartment 0.006671 18520.0 1258.0 1950.0 1993.0 3.0 1 1 0 1 0 0 Laborers 2.0 2 2 TUESDAY 19 0 0 0 0 0 0 Business Entity Type 3 0.510459 0.713631 0.0 0.0 0.0 0.0 -601.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 MEDIOCRE HIGH SENIORS
307314 456041 0 Cash loans F Y Y 1 202500.000 599544.0 21663.0 495000.0 Unaccompanied State servant Secondary / secondary special Civil marriage Office apartment 0.020246 12626.0 211.0 4004.0 4774.0 3.0 1 1 0 1 0 1 Medicine staff 3.0 3 3 TUESDAY 9 0 0 0 0 0 0 Business Entity Type 3 0.409854 0.670652 0.0 0.0 0.0 0.0 -826.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0 HIGH MEDIOCRE MIDDLE-AGE
307315 456042 0 Cash loans F N N 0 60300.000 143910.0 14017.5 135000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.007305 23277.0 365243.0 11979.0 4411.0 0.0 1 0 0 1 0 0 NaN 1.0 3 3 WEDNESDAY 6 0 0 0 0 0 0 XNA 0.173023 0.312365 0.0 0.0 0.0 0.0 -2298.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW VLOW SENIORS
307316 456043 0 Cash loans M Y N 2 202500.000 675000.0 34596.0 675000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.035792 12463.0 1026.0 6272.0 4142.0 21.0 1 1 0 1 0 1 NaN 4.0 2 2 THURSDAY 14 0 0 0 0 1 1 Business Entity Type 3 0.613194 0.432962 0.0 0.0 0.0 0.0 -2707.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0 HIGH HIGH MIDDLE-AGE
307317 456044 0 Cash loans F N N 0 256500.000 781920.0 41400.0 675000.0 Unaccompanied Working Higher education Single / not married House / apartment 0.046220 19107.0 286.0 4604.0 2630.0 0.0 1 1 0 1 0 0 Accountants 1.0 1 1 SATURDAY 11 0 1 1 0 0 0 Trade: type 7 0.644973 0.636376 0.0 0.0 0.0 0.0 -585.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VHIGH HIGH SENIORS
307318 456045 0 Cash loans F N Y 1 112500.000 808650.0 23643.0 675000.0 Unaccompanied Working Higher education Married House / apartment 0.031329 13749.0 426.0 3096.0 5977.0 0.0 1 1 1 1 0 0 Sales staff 3.0 2 2 SUNDAY 8 0 0 0 1 1 0 Trade: type 3 0.510398 0.474051 1.0 0.0 1.0 0.0 -85.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW HIGH MIDDLE-AGE
307319 456046 0 Cash loans F Y Y 0 144000.000 450000.0 30573.0 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.026392 13613.0 1541.0 1990.0 4614.0 3.0 1 1 0 1 0 0 High skill tech staff 2.0 2 2 FRIDAY 14 0 0 0 0 0 0 Government 0.617924 0.384207 2.0 0.0 2.0 0.0 -442.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 MEDIOCRE MEDIOCRE MIDDLE-AGE
307321 456048 0 Cash loans M N N 0 135000.000 1288350.0 37800.0 1125000.0 Unaccompanied Working Higher education Married House / apartment 0.004960 16055.0 6130.0 5972.0 4560.0 0.0 1 1 0 1 0 0 Core staff 2.0 2 2 THURSDAY 16 0 0 0 0 0 0 Culture 0.237334 0.810618 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW VHIGH MIDDLE-AGE
307322 456049 0 Cash loans F N Y 0 99000.000 238500.0 17091.0 238500.0 Unaccompanied Pensioner Higher education Widow House / apartment 0.006008 24864.0 365243.0 7068.0 4032.0 0.0 1 0 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 11 0 0 0 0 0 0 XNA 0.683963 0.556727 1.0 0.0 1.0 0.0 -1192.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0 VLOW VLOW SENIORS
307323 456050 0 Cash loans F N Y 0 112500.000 521280.0 25209.0 450000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.009334 16567.0 2078.0 725.0 108.0 0.0 1 1 0 1 0 0 Sales staff 2.0 2 2 TUESDAY 16 0 0 0 0 0 0 Trade: type 7 0.779499 0.211551 4.0 1.0 4.0 1.0 -1486.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW MEDIOCRE SENIORS
307324 456051 0 Cash loans F N N 0 225000.000 406597.5 19557.0 351000.0 Unaccompanied Working Secondary / secondary special Separated House / apartment 0.024610 20214.0 2841.0 14270.0 3171.0 0.0 1 1 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 12 0 0 0 0 0 0 Services 0.627490 NaN 4.0 0.0 4.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN HIGH LOW SENIORS
307326 456053 0 Cash loans F N Y 3 135000.000 364896.0 28957.5 315000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.019101 12564.0 636.0 4785.0 4857.0 0.0 1 1 0 1 0 0 Sales staff 5.0 2 2 WEDNESDAY 16 0 0 0 0 0 0 Trade: type 7 0.267277 NaN 5.0 0.0 5.0 0.0 -490.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW LOW MIDDLE-AGE
307327 456054 0 Cash loans M Y Y 1 180000.000 323388.0 34087.5 292500.0 Unaccompanied Working Incomplete higher Married House / apartment 0.020246 10819.0 2705.0 1485.0 3474.0 4.0 1 1 0 1 0 0 Drivers 3.0 3 3 SATURDAY 9 0 0 0 0 0 0 Business Entity Type 3 0.795104 0.508287 4.0 0.0 4.0 0.0 -2223.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 1.0 HIGH LOW MIDDLE-AGE
307328 456055 0 Cash loans F N Y 0 333000.000 1113840.0 44302.5 900000.0 Unaccompanied Working Higher education Civil marriage House / apartment 0.010032 18519.0 11084.0 3208.0 2052.0 0.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 6 0 0 0 0 0 0 Business Entity Type 2 0.441831 0.707699 2.0 2.0 2.0 2.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH VHIGH SENIORS
307329 456056 0 Revolving loans M N Y 1 193500.000 180000.0 9000.0 180000.0 Unaccompanied Working Higher education Married With parents 0.009630 13913.0 1155.0 7997.0 4310.0 0.0 1 1 0 1 0 0 Managers 3.0 2 2 MONDAY 13 0 0 0 0 1 1 Security Ministries 0.483498 0.755740 2.0 0.0 2.0 0.0 -656.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH VLOW MIDDLE-AGE
307330 456057 0 Cash loans M Y Y 0 112500.000 497520.0 39438.0 450000.0 Family Commercial associate Higher education Married House / apartment 0.009630 19897.0 1724.0 10316.0 3374.0 13.0 1 1 0 1 0 0 NaN 2.0 2 2 THURSDAY 11 0 0 0 0 0 0 Business Entity Type 3 0.460010 0.707699 0.0 0.0 0.0 0.0 -597.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW MEDIOCRE SENIORS
307331 456059 0 Cash loans M N Y 0 157500.000 450000.0 17095.5 450000.0 Unaccompanied Working Higher education Married House / apartment 0.026392 13984.0 3876.0 0.0 4406.0 0.0 1 1 1 1 1 0 Laborers 2.0 2 2 FRIDAY 18 0 0 0 0 0 0 Business Entity Type 2 0.661955 0.754406 2.0 0.0 1.0 0.0 -1266.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 MEDIOCRE MEDIOCRE MIDDLE-AGE
307332 456060 0 Cash loans F N Y 0 315000.000 567000.0 18418.5 567000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010966 16330.0 3954.0 1924.0 4327.0 0.0 1 1 0 1 0 0 Laborers 2.0 2 2 WEDNESDAY 8 0 0 0 0 0 0 Business Entity Type 3 0.650611 0.730987 0.0 0.0 0.0 0.0 -1528.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 4.0 0.0 1.0 VHIGH MEDIOCRE MIDDLE-AGE
307333 456061 0 Cash loans F N Y 0 157500.000 454500.0 18022.5 454500.0 Unaccompanied State servant Secondary / secondary special Married House / apartment 0.025164 20377.0 6878.0 6617.0 3809.0 0.0 1 1 1 1 0 0 Core staff 2.0 2 2 FRIDAY 7 0 0 0 0 0 0 Kindergarten 0.162192 0.736623 0.0 0.0 0.0 0.0 -1318.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 1.0 MEDIOCRE MEDIOCRE SENIORS
307334 456062 0 Cash loans F N Y 0 135000.000 1056447.0 31018.5 922500.0 Children Pensioner Secondary / secondary special Married House / apartment 0.004960 22122.0 365243.0 7997.0 4703.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 14 0 0 0 0 0 0 XNA 0.747837 0.746300 3.0 1.0 3.0 0.0 -747.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW VHIGH SENIORS
307335 456063 0 Cash loans F N N 0 112500.000 719860.5 48298.5 679500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.020713 22449.0 365243.0 4711.0 4017.0 0.0 1 0 0 1 1 0 NaN 2.0 3 3 THURSDAY 9 0 0 0 0 0 0 XNA 0.515015 0.531686 0.0 0.0 0.0 0.0 -2350.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 LOW HIGH SENIORS
307336 456064 0 Cash loans F Y Y 1 184500.000 540000.0 30150.0 540000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.032561 19149.0 2737.0 7126.0 2712.0 2.0 1 1 0 1 1 0 Managers 3.0 1 1 SUNDAY 21 0 0 0 0 0 0 Transport: type 4 0.687107 0.263647 0.0 0.0 0.0 0.0 -2661.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH MEDIOCRE SENIORS
307337 456065 0 Cash loans F Y Y 0 225000.000 481500.0 26118.0 481500.0 Unaccompanied Commercial associate Secondary / secondary special Married With parents 0.035792 14827.0 2064.0 2253.0 5150.0 13.0 1 1 1 1 0 1 Sales staff 2.0 2 2 MONDAY 14 0 0 0 0 1 1 Self-employed 0.619131 0.046951 0.0 0.0 0.0 0.0 -886.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 3.0 HIGH MEDIOCRE MIDDLE-AGE
307338 456066 0 Cash loans F N Y 0 67500.000 454500.0 14661.0 454500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.024610 13795.0 1253.0 4516.0 4437.0 0.0 1 1 0 1 1 0 NaN 2.0 2 2 FRIDAY 11 0 0 0 0 0 0 Business Entity Type 3 0.602001 0.231439 2.0 1.0 2.0 1.0 -1397.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW MEDIOCRE MIDDLE-AGE
307339 456067 0 Cash loans M N Y 0 157500.000 1097676.0 32224.5 958500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.020246 22720.0 365243.0 14514.0 3906.0 0.0 1 0 0 1 0 0 NaN 2.0 3 3 MONDAY 11 0 0 0 0 0 0 XNA 0.501954 0.743559 4.0 1.0 3.0 1.0 -1138.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 MEDIOCRE VHIGH SENIORS
307340 456068 0 Cash loans F N Y 0 157500.000 766282.5 33885.0 661500.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.016612 23108.0 365243.0 4605.0 640.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 FRIDAY 16 0 0 0 0 0 0 XNA 0.150020 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN MEDIOCRE HIGH SENIORS
307341 456069 0 Cash loans F N N 0 67500.000 190764.0 12321.0 157500.0 Unaccompanied Working Secondary / secondary special Widow House / apartment 0.018029 19364.0 2539.0 10152.0 2878.0 0.0 1 1 0 1 0 0 Cooking staff 1.0 3 3 TUESDAY 6 0 0 0 0 0 0 Self-employed 0.039031 0.365617 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VLOW VLOW SENIORS
307342 456070 0 Cash loans F Y N 0 180000.000 840996.0 24718.5 702000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.006629 18800.0 4699.0 1910.0 2337.0 11.0 1 1 0 1 0 0 Managers 2.0 2 2 MONDAY 10 0 0 0 0 0 0 Self-employed 0.350089 0.265049 0.0 0.0 0.0 0.0 -1560.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 HIGH HIGH SENIORS
307343 456071 0 Cash loans F N Y 1 90000.000 579942.0 33421.5 495000.0 Group of people Working Secondary / secondary special Married House / apartment 0.010966 17541.0 6625.0 7274.0 1041.0 0.0 1 1 0 1 0 0 Sales staff 3.0 2 2 TUESDAY 12 0 0 0 0 0 0 Culture 0.642300 0.631355 1.0 0.0 1.0 0.0 -2811.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 6.0 VLOW MEDIOCRE SENIORS
307344 456072 0 Cash loans F N N 1 135000.000 269550.0 21739.5 225000.0 Unaccompanied Working Incomplete higher Single / not married House / apartment 0.006305 8205.0 1001.0 1401.0 709.0 0.0 1 1 1 1 0 0 Accountants 2.0 3 3 WEDNESDAY 7 0 0 0 0 0 0 Other 0.293235 0.519097 8.0 0.0 8.0 0.0 -834.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW LOW TEENAGE
307345 456073 0 Cash loans F N Y 0 135000.000 755190.0 52690.5 675000.0 Family Pensioner Secondary / secondary special Civil marriage House / apartment 0.007330 22525.0 365243.0 11142.0 4635.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 12 0 0 0 0 0 0 XNA 0.638503 0.733815 2.0 0.0 2.0 0.0 -271.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW HIGH SENIORS
307346 456074 0 Cash loans M Y N 1 315000.000 730017.0 30928.5 652500.0 Unaccompanied Working Secondary / secondary special Widow Municipal apartment 0.006629 20243.0 1419.0 6308.0 3076.0 6.0 1 1 0 1 0 0 Laborers 2.0 2 2 SATURDAY 6 0 0 0 0 0 0 Business Entity Type 3 0.744449 0.691021 4.0 0.0 4.0 0.0 -2026.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VHIGH HIGH SENIORS
307347 456075 0 Cash loans M Y Y 0 112500.000 717003.0 21091.5 598500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.032561 22732.0 365243.0 8531.0 4001.0 8.0 1 0 0 1 1 0 NaN 2.0 1 1 SATURDAY 12 0 0 0 0 0 0 XNA 0.761364 0.821443 0.0 0.0 0.0 0.0 -1720.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 3.0 LOW HIGH SENIORS
307348 456076 0 Cash loans M Y N 2 315000.000 481495.5 36000.0 454500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.020713 14084.0 5284.0 266.0 4315.0 3.0 1 1 1 1 0 0 Managers 4.0 3 2 THURSDAY 18 0 0 0 0 0 0 Self-employed 0.534509 0.669057 4.0 0.0 4.0 0.0 -1629.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0 VHIGH MEDIOCRE MIDDLE-AGE
307349 456077 0 Cash loans F N Y 0 67500.000 143910.0 14364.0 135000.0 Unaccompanied Pensioner Secondary / secondary special Civil marriage House / apartment 0.030755 22355.0 365243.0 2200.0 3765.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 10 0 0 0 0 0 0 XNA 0.111986 0.641368 0.0 0.0 0.0 0.0 -734.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VLOW VLOW SENIORS
307350 456078 0 Cash loans F N Y 0 112500.000 390960.0 21339.0 337500.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.035792 8573.0 322.0 1822.0 1196.0 0.0 1 1 1 1 0 0 NaN 1.0 2 2 SUNDAY 10 0 0 0 0 0 0 Self-employed 0.269471 NaN 1.0 0.0 1.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW LOW TEENAGE
307351 456079 0 Cash loans F N N 0 148500.000 157050.0 6781.5 112500.0 Family Working Higher education Married House / apartment 0.030755 21569.0 1091.0 9519.0 4776.0 0.0 1 1 0 1 0 0 Managers 2.0 2 2 WEDNESDAY 15 0 0 0 0 0 0 School 0.712419 0.579727 1.0 0.0 1.0 0.0 -242.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0 MEDIOCRE VLOW SENIORS
307352 456080 0 Cash loans F N Y 0 121500.000 448056.0 17019.0 315000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.019689 18248.0 1084.0 8244.0 1765.0 0.0 1 1 0 1 0 0 Cooking staff 2.0 2 2 WEDNESDAY 15 0 0 0 0 0 0 Self-employed 0.756918 0.267869 1.0 0.0 1.0 0.0 -183.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 0.0 LOW MEDIOCRE SENIORS
307353 456081 0 Cash loans M Y Y 0 72000.000 547344.0 19791.0 472500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.022800 15265.0 2507.0 7889.0 3945.0 11.0 1 1 1 1 1 0 Drivers 2.0 2 2 FRIDAY 12 0 0 0 0 0 0 Self-employed 0.607572 0.605836 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VLOW MEDIOCRE MIDDLE-AGE
307354 456082 0 Cash loans M Y N 0 157500.000 1078200.0 28570.5 900000.0 Unaccompanied State servant Higher education Single / not married House / apartment 0.007020 11180.0 1654.0 528.0 3770.0 12.0 1 1 0 1 1 0 Managers 1.0 2 2 THURSDAY 13 0 0 0 0 0 0 Housing 0.570693 0.210350 0.0 0.0 0.0 0.0 -5.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 MEDIOCRE VHIGH MIDDLE-AGE
307355 456083 0 Cash loans F Y Y 2 112500.000 361462.5 16051.5 274500.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.025164 15006.0 1105.0 1806.0 2465.0 9.0 1 1 0 1 0 0 Security staff 4.0 2 2 WEDNESDAY 9 0 0 0 0 1 1 Government 0.418337 0.758393 0.0 0.0 0.0 0.0 -1907.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 0.0 LOW LOW MIDDLE-AGE
307356 456084 0 Cash loans F Y Y 1 99000.000 675000.0 21906.0 675000.0 Family Working Secondary / secondary special Separated House / apartment 0.020246 14007.0 2021.0 2395.0 1177.0 14.0 1 1 0 1 0 0 Security staff 2.0 3 3 FRIDAY 9 0 0 0 0 0 0 Security 0.612929 0.475850 1.0 0.0 1.0 0.0 -1789.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW HIGH MIDDLE-AGE
307357 456085 0 Cash loans F Y Y 0 135000.000 218016.0 15993.0 180000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010966 17115.0 329.0 7259.0 660.0 11.0 1 1 0 1 0 0 Sales staff 2.0 2 2 THURSDAY 8 0 0 0 0 0 0 Self-employed 0.229327 NaN 1.0 0.0 1.0 0.0 -134.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW VLOW SENIORS
307358 456086 0 Cash loans F Y Y 0 92250.000 253737.0 16956.0 229500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.028663 20822.0 365243.0 4251.0 4263.0 23.0 1 0 0 1 1 0 NaN 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 XNA 0.609208 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW VLOW SENIORS
307359 456087 0 Cash loans F N Y 0 180000.000 270000.0 12717.0 270000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.026392 11490.0 883.0 5623.0 805.0 0.0 1 1 0 1 0 0 NaN 2.0 2 2 FRIDAY 16 0 0 0 0 0 0 Other 0.704516 0.370650 1.0 1.0 1.0 1.0 -947.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0 HIGH LOW MIDDLE-AGE
307361 456089 0 Cash loans F N Y 0 112500.000 787131.0 30631.5 679500.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.007305 13875.0 3121.0 5874.0 4013.0 0.0 1 1 0 1 1 0 Sales staff 2.0 3 3 WEDNESDAY 9 0 0 0 0 0 0 Self-employed 0.081689 0.154744 0.0 0.0 0.0 0.0 -181.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 8.0 LOW HIGH MIDDLE-AGE
307362 456090 0 Cash loans M N N 0 270000.000 743863.5 58770.0 743863.5 Unaccompanied Working Secondary / secondary special Married Rented apartment 0.028663 10591.0 2417.0 4626.0 3209.0 0.0 1 1 1 1 0 0 Laborers 2.0 2 2 THURSDAY 12 0 0 0 1 1 0 Self-employed 0.406252 NaN 5.0 1.0 5.0 1.0 -413.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VHIGH HIGH MIDDLE-AGE
307363 456091 0 Cash loans F N N 2 90000.000 454500.0 19386.0 454500.0 Unaccompanied Working Higher education Married House / apartment 0.022800 13349.0 1592.0 4816.0 5239.0 0.0 1 1 0 1 0 0 Core staff 4.0 2 2 FRIDAY 15 0 0 0 0 0 0 Kindergarten 0.641872 0.417100 0.0 0.0 0.0 0.0 -1688.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VLOW MEDIOCRE MIDDLE-AGE
307364 456092 0 Cash loans F N Y 1 58500.000 351000.0 17199.0 351000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.015221 10351.0 227.0 8340.0 2612.0 0.0 1 1 0 1 0 0 Sales staff 3.0 2 2 FRIDAY 12 0 0 0 0 0 0 Trade: type 3 0.678268 NaN 7.0 1.0 7.0 1.0 -236.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW LOW MIDDLE-AGE
307365 456093 0 Cash loans F N Y 2 103500.000 339241.5 15943.5 238500.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.018634 13110.0 242.0 3323.0 3342.0 0.0 1 1 0 1 0 0 Managers 4.0 2 2 SUNDAY 12 0 0 0 0 0 0 Culture 0.600496 0.652897 0.0 0.0 0.0 0.0 -1626.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0 LOW LOW MIDDLE-AGE
307366 456094 0 Cash loans M N Y 0 112500.000 1546020.0 42642.0 1350000.0 Spouse, partner Pensioner Secondary / secondary special Married House / apartment 0.003069 23551.0 365243.0 12243.0 4242.0 0.0 1 0 0 1 0 0 NaN 2.0 3 3 TUESDAY 11 0 0 0 0 0 0 XNA 0.662459 0.614414 1.0 0.0 1.0 0.0 -1392.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW VHIGH SENIORS
307367 456095 0 Cash loans F N Y 0 135000.000 986553.0 28975.5 823500.0 Unaccompanied Pensioner Higher education Married House / apartment 0.009630 19105.0 365243.0 11791.0 2662.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 SUNDAY 10 0 0 0 0 0 0 XNA 0.285898 0.468660 5.0 0.0 5.0 0.0 -2218.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 6.0 LOW VHIGH SENIORS
307368 456096 0 Cash loans F Y Y 0 112500.000 728460.0 39676.5 675000.0 Family Commercial associate Secondary / secondary special Single / not married House / apartment 0.018801 19945.0 3781.0 1028.0 3473.0 8.0 1 1 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 Business Entity Type 1 0.572739 0.657784 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 2.0 0.0 LOW HIGH SENIORS
307369 456097 0 Revolving loans M N Y 0 112500.000 180000.0 9000.0 180000.0 Unaccompanied Working Secondary / secondary special Single / not married With parents 0.022800 7820.0 705.0 2766.0 504.0 0.0 1 1 0 1 0 0 Sales staff 1.0 2 2 SATURDAY 12 0 0 0 0 0 0 Business Entity Type 1 0.135915 NaN 0.0 0.0 0.0 0.0 -54.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW VLOW TEENAGE
307370 456098 0 Cash loans F N N 1 67500.000 177903.0 14391.0 148500.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.009549 12857.0 892.0 997.0 4843.0 0.0 1 1 0 1 0 0 Laborers 3.0 2 2 FRIDAY 15 0 0 0 0 0 0 Business Entity Type 1 0.309629 0.355639 5.0 0.0 5.0 0.0 -1298.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 8.0 VLOW VLOW MIDDLE-AGE
307371 456099 0 Cash loans M Y Y 0 270000.000 1042560.0 66757.5 900000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.011703 13384.0 4492.0 104.0 4648.0 8.0 1 1 0 1 1 0 Drivers 2.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 Business Entity Type 2 0.758844 0.408359 0.0 0.0 0.0 0.0 -3384.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 VHIGH VHIGH MIDDLE-AGE
307372 456100 0 Revolving loans F N Y 0 63000.000 135000.0 6750.0 135000.0 Family Commercial associate Secondary / secondary special Married House / apartment 0.003069 16557.0 1277.0 810.0 99.0 0.0 1 1 0 1 0 0 Sales staff 2.0 3 3 WEDNESDAY 12 0 0 0 0 0 0 Self-employed 0.472924 0.853731 0.0 0.0 0.0 0.0 -426.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 VLOW VLOW SENIORS
307373 456101 0 Cash loans M N Y 1 81000.000 364896.0 16200.0 315000.0 Family Working Secondary / secondary special Married House / apartment 0.024610 10899.0 1956.0 2174.0 3063.0 0.0 1 1 1 1 0 0 Laborers 3.0 2 2 SATURDAY 11 0 0 0 0 1 1 Business Entity Type 3 0.582720 0.279335 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VLOW LOW MIDDLE-AGE
307375 456103 0 Cash loans F N Y 0 202500.000 494550.0 42574.5 450000.0 Unaccompanied State servant Higher education Married House / apartment 0.011657 21447.0 924.0 287.0 4459.0 0.0 1 1 0 1 0 0 Medicine staff 2.0 1 1 MONDAY 15 0 1 1 0 0 0 Other 0.661451 0.259468 0.0 0.0 0.0 0.0 -1075.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0 HIGH MEDIOCRE SENIORS
307376 456104 0 Cash loans M N N 0 76500.000 157914.0 16884.0 139500.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.035792 9967.0 178.0 3990.0 2643.0 0.0 1 1 0 1 1 0 Low-skill Laborers 1.0 2 2 TUESDAY 13 0 0 0 0 1 1 Industry: type 3 0.322949 NaN 0.0 0.0 0.0 0.0 -1525.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW VLOW MIDDLE-AGE
307377 456105 0 Cash loans M Y N 0 225000.000 1005120.0 29389.5 720000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.035792 13629.0 1705.0 7456.0 1050.0 2.0 1 1 1 1 1 0 Laborers 2.0 2 2 FRIDAY 14 0 0 0 0 0 0 Business Entity Type 3 0.663085 NaN 6.0 3.0 6.0 2.0 -1570.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0 HIGH VHIGH MIDDLE-AGE
307378 456106 0 Cash loans M N N 0 112500.000 284400.0 16456.5 225000.0 Unaccompanied Working Secondary / secondary special Civil marriage Rented apartment 0.031329 16083.0 411.0 3407.0 3320.0 0.0 1 1 0 1 0 0 Laborers 2.0 2 2 WEDNESDAY 15 0 0 0 0 0 0 Construction 0.288490 0.540654 2.0 1.0 2.0 1.0 -323.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW LOW MIDDLE-AGE
307379 456107 0 Cash loans M Y Y 1 225000.000 1437799.5 42169.5 1255500.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.003069 14512.0 2044.0 1525.0 4665.0 11.0 1 1 0 1 0 0 High skill tech staff 3.0 3 3 FRIDAY 10 0 0 0 0 0 0 Construction 0.594390 0.629674 1.0 0.0 1.0 0.0 -937.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH VHIGH MIDDLE-AGE
307381 456109 0 Revolving loans M N N 0 180000.000 270000.0 13500.0 270000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.003069 20224.0 2637.0 8798.0 3625.0 0.0 1 1 0 1 0 0 Drivers 2.0 3 3 THURSDAY 15 0 0 0 0 0 0 Business Entity Type 2 0.674328 0.719491 1.0 0.0 1.0 0.0 -1922.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0 HIGH LOW SENIORS
307382 456110 0 Revolving loans M Y Y 2 180000.000 180000.0 9000.0 180000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.006629 12591.0 3182.0 72.0 4629.0 16.0 1 1 0 1 0 0 Sales staff 4.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 Self-employed 0.616891 NaN 0.0 0.0 0.0 0.0 -152.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH VLOW MIDDLE-AGE
307384 456113 0 Cash loans M N Y 3 180000.000 1096020.0 56092.5 900000.0 Other_B Commercial associate Secondary / secondary special Civil marriage House / apartment 0.032561 10426.0 2056.0 1780.0 3092.0 0.0 1 1 0 1 1 0 NaN 5.0 1 1 SUNDAY 15 0 0 0 0 0 0 Government NaN NaN 0.0 0.0 0.0 0.0 -1780.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN HIGH VHIGH MIDDLE-AGE
307385 456117 0 Cash loans M Y N 1 67500.000 490536.0 23989.5 405000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.003813 12183.0 808.0 106.0 79.0 30.0 1 1 1 1 1 0 NaN 3.0 2 2 MONDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.357649 NaN 0.0 0.0 0.0 0.0 -266.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW MEDIOCRE MIDDLE-AGE
307386 456118 0 Cash loans M N Y 0 135000.000 995643.0 33034.5 859500.0 Unaccompanied Working Higher education Married House / apartment 0.004960 12544.0 2081.0 3949.0 4095.0 0.0 1 1 0 1 0 0 Drivers 2.0 2 2 FRIDAY 14 0 0 0 0 0 0 Business Entity Type 3 0.743712 0.604113 0.0 0.0 0.0 0.0 -2115.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW VHIGH MIDDLE-AGE
307387 456121 0 Cash loans F N Y 0 81000.000 314100.0 15111.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.028663 23737.0 365243.0 2262.0 4407.0 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 10 0 0 0 0 0 0 XNA 0.312901 0.832785 0.0 0.0 0.0 0.0 -301.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VLOW LOW SENIORS
307388 456124 0 Cash loans F N Y 0 90000.000 625536.0 21510.0 540000.0 Unaccompanied Commercial associate Incomplete higher Widow House / apartment 0.025164 20800.0 4004.0 8743.0 4242.0 0.0 1 1 0 1 0 0 Core staff 1.0 2 2 WEDNESDAY 8 0 0 0 0 0 0 Kindergarten 0.602263 0.680139 3.0 0.0 3.0 0.0 -867.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 VLOW HIGH SENIORS
307389 456125 0 Cash loans F N Y 0 315000.000 1391130.0 77809.5 1305000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.072508 21746.0 365243.0 4715.0 4544.0 0.0 1 0 0 1 1 0 NaN 2.0 1 1 THURSDAY 15 0 0 0 0 0 0 XNA 0.746573 0.515495 3.0 0.0 3.0 0.0 -1471.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH VHIGH SENIORS
307390 456126 0 Cash loans F Y Y 0 202500.000 544500.0 15921.0 544500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.010966 21305.0 365243.0 1229.0 3502.0 7.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 10 0 0 0 0 0 0 XNA 0.677059 0.379100 1.0 0.0 1.0 0.0 -1025.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 8.0 HIGH MEDIOCRE SENIORS
307391 456127 0 Cash loans M N N 0 157500.000 183384.0 19588.5 162000.0 Unaccompanied Working Secondary / secondary special Married Municipal apartment 0.018634 13768.0 2496.0 1385.0 3888.0 0.0 1 1 0 1 0 0 NaN 2.0 2 2 FRIDAY 11 0 0 0 0 0 0 Self-employed 0.426249 0.465069 2.0 0.0 2.0 0.0 -842.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 MEDIOCRE VLOW MIDDLE-AGE
307392 456128 0 Cash loans F N Y 0 108000.000 506925.0 49513.5 481500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.031329 21748.0 4196.0 12372.0 4798.0 0.0 1 1 0 1 0 0 Laborers 2.0 2 2 SATURDAY 11 0 0 0 0 0 0 Business Entity Type 2 0.548645 0.600658 7.0 0.0 7.0 0.0 -1193.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 4.0 LOW MEDIOCRE SENIORS
307393 456129 0 Cash loans M N Y 0 135000.000 298512.0 29655.0 270000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.008019 9489.0 1640.0 7058.0 2162.0 0.0 1 1 0 1 1 0 Drivers 1.0 2 2 THURSDAY 18 0 0 0 0 0 0 Business Entity Type 3 0.544743 0.443615 1.0 0.0 1.0 0.0 -900.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0 LOW LOW MIDDLE-AGE
307394 456130 0 Cash loans F Y Y 0 202500.000 753840.0 22171.5 540000.0 Unaccompanied Working Lower secondary Married House / apartment 0.030755 14109.0 7499.0 7119.0 4349.0 28.0 1 1 0 1 0 0 NaN 2.0 2 2 TUESDAY 14 0 0 0 0 0 0 Industry: type 11 0.382095 0.754406 0.0 0.0 0.0 0.0 -1648.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH HIGH MIDDLE-AGE
307395 456131 0 Cash loans F N Y 0 69300.000 229500.0 8239.5 229500.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.014520 22915.0 365243.0 3613.0 3877.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 9 0 0 0 0 0 0 XNA 0.353855 0.484851 0.0 0.0 0.0 0.0 -1518.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 2.0 3.0 VLOW VLOW SENIORS
307396 456132 0 Cash loans F N Y 2 225000.000 720000.0 21051.0 720000.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.005144 14623.0 1084.0 5516.0 5535.0 0.0 1 1 0 1 0 0 Cooking staff 4.0 2 2 WEDNESDAY 12 0 0 0 0 0 0 School 0.598837 0.656158 2.0 0.0 2.0 0.0 -894.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 4.0 2.0 HIGH HIGH MIDDLE-AGE
307397 456133 0 Cash loans M N Y 0 67500.000 47970.0 5296.5 45000.0 Unaccompanied State servant Secondary / secondary special Married House / apartment 0.035792 14698.0 1420.0 3338.0 4404.0 0.0 1 1 0 1 0 0 Core staff 2.0 2 2 FRIDAY 9 0 0 0 0 0 0 Government 0.684615 NaN 5.0 0.0 5.0 0.0 -1386.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW VLOW MIDDLE-AGE
307398 456134 0 Cash loans F Y Y 0 135000.000 1718473.5 47385.0 1345500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.025164 18980.0 365243.0 245.0 2513.0 9.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 8 0 0 0 0 0 0 XNA 0.266520 0.357293 0.0 0.0 0.0 0.0 -1695.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0 LOW VHIGH SENIORS
307399 456135 0 Revolving loans F N Y 0 157500.000 382500.0 19125.0 382500.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.028663 22554.0 365243.0 60.0 4051.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 TUESDAY 14 0 0 0 0 0 0 XNA 0.165364 0.644679 NaN NaN NaN NaN -633.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0 MEDIOCRE LOW SENIORS
307400 456136 0 Cash loans F N Y 0 270000.000 254700.0 14751.0 225000.0 Unaccompanied Commercial associate Secondary / secondary special Widow House / apartment 0.032561 24185.0 2962.0 6595.0 4198.0 0.0 1 1 0 1 0 0 Managers 1.0 1 1 SATURDAY 11 0 0 0 0 0 0 School 0.794105 0.723837 0.0 0.0 0.0 0.0 -2897.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 3.0 VHIGH VLOW SENIORS
307401 456137 0 Cash loans F N Y 0 190350.000 675000.0 21906.0 675000.0 Unaccompanied Pensioner Lower secondary Single / not married House / apartment 0.022800 20839.0 365243.0 13162.0 4281.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 THURSDAY 8 0 0 0 0 0 0 XNA 0.690215 0.303146 0.0 0.0 0.0 0.0 -609.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 HIGH HIGH SENIORS
307402 456138 0 Cash loans M N Y 0 49500.000 432661.5 26419.5 373500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.006629 20411.0 365243.0 9617.0 2453.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 FRIDAY 7 0 0 0 1 0 0 XNA 0.310433 NaN 2.0 0.0 2.0 0.0 -391.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW MEDIOCRE SENIORS
307403 456139 0 Cash loans F N Y 0 90000.000 203760.0 13747.5 180000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.019689 23340.0 365243.0 7902.0 3982.0 0.0 1 0 0 1 1 0 NaN 1.0 2 2 MONDAY 14 0 0 0 0 0 0 XNA 0.194540 0.484851 1.0 1.0 1.0 1.0 -1696.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW VLOW SENIORS
307405 456141 0 Cash loans F Y Y 1 112500.000 237024.0 18855.0 180000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.030755 14975.0 7927.0 5111.0 5116.0 3.0 1 1 0 1 0 0 Medicine staff 3.0 2 2 WEDNESDAY 9 0 0 0 0 0 0 Medicine 0.665586 0.605836 0.0 0.0 0.0 0.0 -617.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 2.0 LOW VLOW MIDDLE-AGE
307406 456142 0 Cash loans F N N 1 360000.000 1417185.0 39100.5 1237500.0 Unaccompanied Working Higher education Single / not married House / apartment 0.018029 14010.0 1187.0 4776.0 4796.0 0.0 1 1 1 1 0 0 Core staff 2.0 3 3 FRIDAY 11 0 0 0 0 1 1 School 0.557887 0.477649 3.0 0.0 3.0 0.0 -1285.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VHIGH VHIGH MIDDLE-AGE
307408 456144 0 Cash loans F N Y 0 65250.000 123637.5 8734.5 112500.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.007020 14483.0 976.0 8617.0 4389.0 0.0 1 1 1 1 1 1 NaN 2.0 2 2 WEDNESDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.551659 NaN 4.0 0.0 4.0 0.0 -1723.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW VLOW MIDDLE-AGE
307409 456145 0 Cash loans F N N 0 162000.000 900000.0 29034.0 900000.0 Unaccompanied Commercial associate Higher education Married With parents 0.026392 10592.0 2189.0 1412.0 2208.0 0.0 1 1 0 1 1 0 NaN 2.0 2 2 MONDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.705375 0.652897 0.0 0.0 0.0 0.0 -1519.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 MEDIOCRE HIGH MIDDLE-AGE
307410 456146 0 Cash loans F N Y 0 99000.000 269550.0 14242.5 225000.0 Spouse, partner Working Secondary / secondary special Married House / apartment 0.030755 16054.0 9501.0 391.0 4342.0 0.0 1 1 1 1 1 0 Core staff 2.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 School 0.669174 0.665855 0.0 0.0 0.0 0.0 -2852.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW LOW MIDDLE-AGE
307411 456147 0 Cash loans F Y Y 2 90000.000 1078200.0 31653.0 900000.0 Family Commercial associate Secondary / secondary special Married House / apartment 0.003069 14010.0 1533.0 3427.0 4168.0 13.0 1 1 0 1 0 0 Laborers 4.0 3 3 FRIDAY 12 0 0 0 0 1 1 Business Entity Type 3 0.443849 0.678568 2.0 0.0 2.0 0.0 -1193.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0 VLOW VHIGH MIDDLE-AGE
307412 456148 0 Cash loans M Y Y 0 180000.000 589045.5 30204.0 508500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.008230 17048.0 1471.0 9633.0 578.0 6.0 1 1 0 1 0 0 Drivers 2.0 2 2 SATURDAY 12 0 0 0 0 0 0 Business Entity Type 3 0.162231 0.835777 1.0 0.0 1.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 HIGH MEDIOCRE SENIORS
307413 456149 0 Cash loans F Y Y 0 90000.000 327024.0 21982.5 270000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.020713 11478.0 1056.0 5400.0 3733.0 20.0 1 1 0 1 0 0 High skill tech staff 1.0 3 3 SATURDAY 9 0 0 0 0 0 0 Transport: type 3 0.359983 0.678568 5.0 2.0 5.0 2.0 -955.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VLOW LOW MIDDLE-AGE
307414 456150 0 Cash loans F N N 0 90000.000 270000.0 16645.5 270000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.018209 20768.0 365243.0 12176.0 4307.0 0.0 1 0 0 1 0 0 NaN 1.0 3 3 SUNDAY 7 0 0 0 0 0 0 XNA 0.319830 0.617826 4.0 0.0 4.0 0.0 -1746.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0 VLOW LOW SENIORS
307415 456151 0 Cash loans F N N 0 90000.000 369720.0 22747.5 292500.0 Unaccompanied Working Higher education Married House / apartment 0.031329 15450.0 4406.0 1816.0 3059.0 0.0 1 1 0 1 0 0 Sales staff 2.0 2 2 FRIDAY 11 0 0 0 0 0 0 Self-employed 0.499351 0.591977 9.0 0.0 9.0 0.0 -2508.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 4.0 8.0 VLOW LOW MIDDLE-AGE
307416 456152 0 Revolving loans F N N 1 112500.000 450000.0 22500.0 450000.0 Unaccompanied Working Higher education Married House / apartment 0.007114 12263.0 4095.0 6407.0 3351.0 0.0 1 1 0 1 0 0 Medicine staff 3.0 2 2 MONDAY 17 0 0 0 0 0 0 Kindergarten 0.619409 0.417100 0.0 0.0 0.0 0.0 -1195.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 3.0 LOW MEDIOCRE MIDDLE-AGE
307417 456153 0 Cash loans F N N 0 157500.000 1282500.0 48847.5 1282500.0 Unaccompanied Pensioner Higher education Civil marriage House / apartment 0.030755 22672.0 365243.0 8334.0 4924.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 19 0 0 0 0 0 0 XNA 0.710066 0.497469 0.0 0.0 0.0 0.0 -2054.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 MEDIOCRE VHIGH SENIORS
307418 456154 0 Cash loans M Y Y 0 157500.000 144000.0 9751.5 144000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010500 18139.0 688.0 2899.0 1697.0 1.0 1 1 0 1 0 0 NaN 2.0 3 3 SATURDAY 12 0 0 0 0 1 1 Industry: type 4 0.333707 NaN 1.0 0.0 1.0 0.0 -282.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 MEDIOCRE VLOW SENIORS
307419 456155 0 Cash loans F N Y 0 202500.000 1971072.0 68643.0 1800000.0 Family Pensioner Higher education Married House / apartment 0.008575 22802.0 365243.0 8689.0 5049.0 0.0 1 0 0 1 1 0 NaN 2.0 2 2 FRIDAY 14 0 0 0 0 0 0 XNA 0.668457 0.738020 4.0 0.0 4.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH VHIGH SENIORS
307420 456156 0 Cash loans M N N 0 90000.000 119448.0 7632.0 94500.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.024610 18324.0 1127.0 9807.0 1855.0 0.0 1 1 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 17 0 0 0 0 0 0 Transport: type 4 0.134254 0.644679 5.0 0.0 5.0 0.0 -1366.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0 VLOW VLOW SENIORS
307421 456157 0 Cash loans F N Y 0 193500.000 284400.0 16326.0 225000.0 Unaccompanied Pensioner Higher education Civil marriage House / apartment 0.019101 23922.0 365243.0 6338.0 4139.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 SATURDAY 9 0 0 0 0 0 0 XNA 0.715572 0.431192 0.0 0.0 0.0 0.0 -561.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 4.0 4.0 HIGH LOW SENIORS
307422 456158 0 Revolving loans M Y Y 2 234000.000 450000.0 22500.0 450000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.022800 11943.0 3214.0 5994.0 3520.0 7.0 1 1 0 1 0 0 Drivers 4.0 2 2 FRIDAY 13 0 1 1 0 1 1 Industry: type 9 0.414246 0.384207 0.0 0.0 0.0 0.0 -1911.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VHIGH MEDIOCRE MIDDLE-AGE
307423 456159 0 Cash loans F N Y 0 112500.000 518562.0 25078.5 463500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.019689 21259.0 365243.0 5305.0 4213.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 10 0 0 0 0 0 0 XNA 0.220484 0.387625 2.0 1.0 2.0 1.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 4.0 LOW MEDIOCRE SENIORS
307424 456160 0 Cash loans F Y Y 0 270000.000 1298970.0 46786.5 1147500.0 Family State servant Secondary / secondary special Married House / apartment 0.018850 19351.0 875.0 3146.0 2906.0 21.0 1 1 0 1 0 1 Cleaning staff 2.0 2 2 SATURDAY 9 0 0 0 0 0 0 Business Entity Type 3 0.577996 0.789880 0.0 0.0 0.0 0.0 -2040.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VHIGH VHIGH SENIORS
307425 456161 0 Cash loans F N N 0 270000.000 1262583.0 40860.0 1102500.0 Unaccompanied Working Higher education Single / not married House / apartment 0.025164 15164.0 4678.0 325.0 4267.0 0.0 1 1 1 1 1 0 NaN 1.0 2 2 FRIDAY 16 0 0 0 0 0 0 Other 0.645418 0.510090 12.0 0.0 12.0 0.0 -1469.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0 VHIGH VHIGH MIDDLE-AGE
307426 456162 0 Cash loans F N N 0 112500.000 700830.0 22738.5 585000.0 Unaccompanied Working Incomplete higher Single / not married House / apartment 0.019689 8676.0 813.0 4163.0 1363.0 0.0 1 1 1 1 0 0 Core staff 1.0 2 2 FRIDAY 17 0 0 0 1 1 0 Trade: type 2 0.699373 0.171468 0.0 0.0 0.0 0.0 -589.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW HIGH TEENAGE
307427 456163 0 Cash loans F N Y 0 135000.000 170640.0 11034.0 135000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.035792 21755.0 365243.0 2567.0 5031.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 MONDAY 10 0 0 0 0 0 0 XNA 0.355126 0.363945 0.0 0.0 0.0 0.0 -2562.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 LOW VLOW SENIORS
307428 456164 0 Cash loans F N N 1 112500.000 334152.0 18256.5 270000.0 Unaccompanied Working Secondary / secondary special Single / not married With parents 0.022800 8146.0 1197.0 2827.0 813.0 0.0 1 1 1 1 0 0 NaN 2.0 2 2 WEDNESDAY 10 0 0 0 0 1 1 Business Entity Type 3 0.203856 NaN 0.0 0.0 0.0 0.0 -1101.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW LOW TEENAGE
307429 456165 0 Cash loans M N Y 0 135000.000 840951.0 42934.5 679500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.009175 18146.0 379.0 10348.0 1691.0 0.0 1 1 1 1 0 0 Drivers 2.0 2 2 SUNDAY 9 0 0 0 0 1 1 Agriculture 0.655284 0.235311 1.0 0.0 1.0 0.0 -124.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW HIGH SENIORS
307431 456172 0 Cash loans F Y Y 0 76500.000 163098.0 16015.5 153000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.018801 21027.0 365243.0 2653.0 4509.0 10.0 1 0 0 1 1 0 NaN 2.0 2 2 THURSDAY 11 0 0 0 0 0 0 XNA 0.092283 0.739412 0.0 0.0 0.0 0.0 -1121.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW VLOW SENIORS
307432 456173 0 Cash loans M Y Y 0 189000.000 675000.0 19737.0 675000.0 Unaccompanied Working Higher education Married House / apartment 0.025164 14473.0 2529.0 693.0 5129.0 2.0 1 1 1 1 1 0 Managers 2.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 Business Entity Type 3 0.631091 0.680139 0.0 0.0 0.0 0.0 -2248.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 HIGH HIGH MIDDLE-AGE
307433 456174 0 Cash loans F N N 2 135000.000 215640.0 17064.0 180000.0 Spouse, partner Working Secondary / secondary special Married House / apartment 0.018850 11274.0 798.0 2160.0 2222.0 0.0 1 1 0 1 0 0 Sales staff 4.0 2 2 FRIDAY 15 0 0 0 1 1 0 Self-employed 0.662811 0.783832 6.0 0.0 6.0 0.0 -2265.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW VLOW MIDDLE-AGE
307434 456175 0 Cash loans F Y Y 0 81000.000 180000.0 12658.5 180000.0 Unaccompanied Working Secondary / secondary special Single / not married House / apartment 0.015221 21906.0 2638.0 504.0 4108.0 16.0 1 1 0 1 1 0 Cleaning staff 1.0 2 2 TUESDAY 13 0 0 0 0 0 0 Other 0.622929 0.689479 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0 VLOW VLOW SENIORS
307436 456177 0 Cash loans M N Y 0 247500.000 900000.0 50386.5 900000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010006 11368.0 1889.0 417.0 414.0 0.0 1 1 0 1 0 0 Managers 2.0 2 2 TUESDAY 9 0 0 0 0 0 0 Business Entity Type 3 0.716767 0.401407 1.0 0.0 1.0 0.0 -15.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH HIGH MIDDLE-AGE
307437 456178 0 Cash loans F N Y 0 440100.000 713889.0 45751.5 661500.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.072508 18047.0 1886.0 3146.0 1532.0 0.0 1 1 0 1 1 0 Managers 2.0 1 1 MONDAY 17 0 0 0 0 0 0 Business Entity Type 3 0.653572 NaN 0.0 0.0 0.0 0.0 -406.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VHIGH HIGH SENIORS
307438 456179 0 Cash loans F N Y 0 126000.000 254700.0 24939.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.018209 24857.0 365243.0 12253.0 4801.0 0.0 1 0 0 1 0 0 NaN 2.0 3 3 MONDAY 8 0 0 0 0 0 0 XNA 0.500401 0.549597 0.0 0.0 0.0 0.0 -1582.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0 LOW VLOW SENIORS
307439 456180 0 Cash loans M Y Y 1 135000.000 90000.0 9580.5 90000.0 Family Working Secondary / secondary special Married House / apartment 0.026392 15921.0 2175.0 6233.0 4242.0 3.0 1 1 1 1 1 0 Managers 3.0 2 2 FRIDAY 12 0 0 0 0 0 0 Emergency 0.511092 0.683269 0.0 0.0 0.0 0.0 -1406.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 LOW VLOW MIDDLE-AGE
307440 456181 0 Cash loans F N N 0 76500.000 1240614.0 44559.0 1111500.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.016612 17060.0 365243.0 4388.0 609.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 16 0 0 0 0 0 0 XNA 0.683457 0.574447 0.0 0.0 0.0 0.0 -105.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW VHIGH SENIORS
307441 456182 0 Revolving loans F N Y 2 90000.000 270000.0 13500.0 270000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.018634 13959.0 2190.0 3932.0 4562.0 0.0 1 1 0 1 0 0 NaN 4.0 2 2 TUESDAY 12 0 0 0 0 0 0 Self-employed 0.452707 NaN 6.0 0.0 6.0 0.0 -414.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VLOW LOW MIDDLE-AGE
307442 456183 0 Cash loans F Y Y 0 180000.000 990000.0 42075.0 990000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.010147 21685.0 365243.0 14150.0 4784.0 30.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 9 0 0 0 0 0 0 XNA 0.268981 0.396220 0.0 0.0 0.0 0.0 -344.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 HIGH VHIGH SENIORS
307444 456185 0 Cash loans F N Y 0 135000.000 528633.0 22527.0 472500.0 Family Working Secondary / secondary special Married House / apartment 0.019101 11193.0 4606.0 2769.0 2769.0 0.0 1 1 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 13 0 0 0 0 1 1 Trade: type 7 0.600160 0.621226 0.0 0.0 0.0 0.0 -1023.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 3.0 LOW MEDIOCRE MIDDLE-AGE
307446 456187 0 Cash loans M Y Y 1 315000.000 1175314.5 38974.5 1053000.0 Unaccompanied Working Incomplete higher Married House / apartment 0.018801 16329.0 3389.0 8850.0 4351.0 15.0 1 1 0 1 0 0 Sales staff 3.0 2 2 SATURDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.599436 0.306202 1.0 1.0 1.0 0.0 0.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VHIGH VHIGH MIDDLE-AGE
307447 456188 0 Cash loans F N Y 0 54000.000 315000.0 21924.0 315000.0 Unaccompanied Pensioner Secondary / secondary special Widow Municipal apartment 0.006207 20362.0 365243.0 9841.0 3631.0 0.0 1 0 0 1 1 0 NaN 1.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 XNA 0.312168 NaN 1.0 0.0 1.0 0.0 -2950.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW LOW SENIORS
307448 456190 0 Cash loans M Y N 1 450000.000 545040.0 25407.0 450000.0 Unaccompanied State servant Higher education Married House / apartment 0.019101 11523.0 2500.0 7.0 2062.0 13.0 1 1 0 1 0 0 Core staff 3.0 2 2 TUESDAY 11 0 0 0 0 0 0 Police 0.253372 0.701696 5.0 1.0 5.0 0.0 -1938.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH MEDIOCRE MIDDLE-AGE
307449 456191 0 Cash loans F Y N 2 153000.000 1350000.0 46926.0 1350000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.030755 13128.0 397.0 3964.0 2745.0 14.0 1 1 1 1 1 0 NaN 4.0 2 2 THURSDAY 14 0 0 0 0 0 0 Restaurant 0.541303 0.754406 0.0 0.0 0.0 0.0 -741.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 1.0 MEDIOCRE VHIGH MIDDLE-AGE
307450 456192 0 Cash loans F N N 1 135000.000 450000.0 24412.5 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.018801 11280.0 517.0 910.0 885.0 0.0 1 1 1 1 1 0 Sales staff 3.0 2 2 THURSDAY 8 0 0 0 0 0 0 Business Entity Type 3 0.092387 0.425893 0.0 0.0 0.0 0.0 -285.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW MEDIOCRE MIDDLE-AGE
307451 456193 0 Cash loans M N N 0 157500.000 1332000.0 39078.0 1332000.0 Unaccompanied Working Higher education Civil marriage House / apartment 0.008575 15552.0 302.0 7785.0 4586.0 0.0 1 1 1 1 1 0 Security staff 2.0 2 2 THURSDAY 15 0 1 1 0 1 1 Security 0.661427 0.591977 0.0 0.0 0.0 0.0 -390.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 MEDIOCRE VHIGH MIDDLE-AGE
307452 456194 0 Cash loans M N Y 1 157500.000 225000.0 15165.0 225000.0 Unaccompanied Commercial associate Incomplete higher Married House / apartment 0.016612 13170.0 880.0 2665.0 4060.0 0.0 1 1 0 1 0 0 Sales staff 3.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.427019 0.652897 0.0 0.0 0.0 0.0 -2615.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 MEDIOCRE VLOW MIDDLE-AGE
307453 456195 0 Cash loans F Y Y 0 94500.000 270000.0 15075.0 270000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.028663 20246.0 5452.0 5480.0 3784.0 5.0 1 1 1 1 1 0 Cleaning staff 2.0 2 2 TUESDAY 11 0 0 0 0 0 0 Business Entity Type 2 0.534302 0.723837 0.0 0.0 0.0 0.0 -2299.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 3.0 VLOW LOW SENIORS
307454 456196 0 Revolving loans F N Y 2 202500.000 360000.0 18000.0 360000.0 Unaccompanied Commercial associate Secondary / secondary special Civil marriage House / apartment 0.035792 12778.0 3582.0 6804.0 4414.0 0.0 1 1 0 1 0 0 Sales staff 4.0 2 2 WEDNESDAY 13 0 0 0 0 0 0 Self-employed 0.680098 0.638044 0.0 0.0 0.0 0.0 -2326.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 1.0 HIGH LOW MIDDLE-AGE
307455 456197 0 Cash loans F N Y 0 112500.000 239850.0 23364.0 225000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.031329 15034.0 2079.0 4592.0 4592.0 0.0 1 1 1 1 0 0 Cooking staff 2.0 2 2 MONDAY 10 0 0 0 0 0 0 Kindergarten 0.753453 0.832785 0.0 0.0 0.0 0.0 -1635.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW VLOW MIDDLE-AGE
307456 456198 0 Cash loans M Y Y 0 225000.000 959017.5 49095.0 787500.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.035792 12560.0 3735.0 6599.0 4817.0 12.0 1 1 0 1 0 0 Laborers 2.0 2 2 SATURDAY 11 0 0 0 0 0 0 Business Entity Type 3 0.421987 NaN 2.0 0.0 2.0 0.0 -125.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN HIGH VHIGH MIDDLE-AGE
307457 456199 0 Cash loans M Y N 1 382500.000 745429.5 24354.0 643500.0 Unaccompanied State servant Secondary / secondary special Married House / apartment 0.007020 14391.0 175.0 4213.0 4468.0 8.0 1 1 1 1 1 0 Security staff 3.0 2 2 TUESDAY 12 0 0 0 0 1 1 Government 0.575246 0.479449 0.0 0.0 0.0 0.0 -1994.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0 VHIGH HIGH MIDDLE-AGE
307458 456200 0 Cash loans F N N 1 157500.000 463500.0 16645.5 463500.0 Unaccompanied Working Higher education Married House / apartment 0.030755 12741.0 5507.0 1392.0 2491.0 0.0 1 1 0 1 0 0 Managers 3.0 2 2 MONDAY 18 0 0 0 0 0 0 School 0.583947 NaN 0.0 0.0 0.0 0.0 -1669.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN MEDIOCRE MEDIOCRE MIDDLE-AGE
307459 456201 0 Cash loans F Y Y 3 135000.000 1024785.0 57222.0 922500.0 Family Working Secondary / secondary special Married House / apartment 0.008019 12549.0 424.0 6643.0 1536.0 10.0 1 1 0 1 0 0 Accountants 5.0 2 2 THURSDAY 12 0 0 0 0 0 0 Self-employed 0.513005 0.285180 0.0 0.0 0.0 0.0 -656.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW VHIGH MIDDLE-AGE
307460 456203 0 Cash loans F N Y 0 180000.000 247275.0 17338.5 225000.0 Family Pensioner Secondary / secondary special Married House / apartment 0.016612 24142.0 365243.0 7108.0 4111.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 THURSDAY 14 0 0 0 0 0 0 XNA 0.666924 0.728141 0.0 0.0 0.0 0.0 -1573.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0 HIGH VLOW SENIORS
307461 456204 0 Cash loans F N Y 0 58500.000 528633.0 27121.5 472500.0 Unaccompanied State servant Secondary / secondary special Married House / apartment 0.020713 14582.0 1701.0 3449.0 5264.0 0.0 1 1 0 1 0 0 Cooking staff 2.0 3 3 THURSDAY 9 0 0 0 0 0 0 Kindergarten 0.503774 NaN 0.0 0.0 0.0 0.0 -1457.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW MEDIOCRE MIDDLE-AGE
307462 456205 0 Cash loans F N N 1 180000.000 835380.0 33259.5 675000.0 Unaccompanied Working Secondary / secondary special Civil marriage House / apartment 0.031329 13502.0 6564.0 6856.0 4461.0 0.0 1 1 0 1 0 0 Core staff 3.0 2 2 FRIDAY 12 0 0 0 0 0 0 Kindergarten 0.590768 0.766234 4.0 0.0 4.0 0.0 -1135.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH HIGH MIDDLE-AGE
307463 456206 0 Cash loans F N Y 0 157500.000 599778.0 26550.0 477000.0 Unaccompanied State servant Secondary / secondary special Civil marriage House / apartment 0.022800 17177.0 4439.0 10635.0 732.0 0.0 1 1 0 1 0 0 Medicine staff 2.0 2 2 SUNDAY 9 0 0 0 0 0 0 Other 0.639970 NaN 0.0 0.0 0.0 0.0 -2492.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN MEDIOCRE MEDIOCRE SENIORS
307464 456207 0 Revolving loans F N Y 0 247500.000 675000.0 33750.0 675000.0 Unaccompanied Working Higher education Married House / apartment 0.046220 18008.0 1296.0 8268.0 1546.0 0.0 1 1 0 1 0 0 Accountants 2.0 1 1 WEDNESDAY 16 0 0 0 0 0 0 Business Entity Type 3 0.724419 NaN 0.0 0.0 0.0 0.0 -148.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH HIGH SENIORS
307465 456208 0 Cash loans F N Y 1 135000.000 305955.0 21888.0 283500.0 Unaccompanied Working Higher education Civil marriage House / apartment 0.020246 9844.0 1266.0 7511.0 1053.0 0.0 1 1 0 1 0 0 NaN 3.0 3 3 THURSDAY 9 0 0 0 0 0 0 Industry: type 12 0.240384 0.511892 2.0 0.0 2.0 0.0 -499.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 2.0 LOW LOW MIDDLE-AGE
307466 456209 0 Cash loans F N Y 0 202500.000 703728.0 29943.0 607500.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.031329 22414.0 365243.0 11976.0 4171.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 15 0 0 0 0 0 0 XNA 0.195625 0.360613 11.0 2.0 11.0 0.0 -1667.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 0.0 HIGH HIGH SENIORS
307467 456210 0 Cash loans F N Y 0 90000.000 270000.0 10309.5 270000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.028663 10604.0 612.0 4672.0 3231.0 0.0 1 1 1 1 1 0 Cooking staff 2.0 2 2 MONDAY 10 0 0 0 0 1 1 Government 0.479758 0.337673 0.0 0.0 0.0 0.0 -2190.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VLOW LOW MIDDLE-AGE
307468 456211 0 Cash loans F N Y 2 112500.000 592560.0 32274.0 450000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.018634 13388.0 3271.0 2316.0 5071.0 0.0 1 1 0 1 0 0 Secretaries 4.0 2 2 MONDAY 12 0 0 0 0 0 0 Medicine 0.554902 0.629674 0.0 0.0 0.0 0.0 -385.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 0.0 LOW MEDIOCRE MIDDLE-AGE
307469 456212 0 Cash loans F N Y 1 135000.000 808650.0 23773.5 675000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.009657 18042.0 186.0 8350.0 1540.0 0.0 1 1 0 1 0 0 Sales staff 3.0 2 2 WEDNESDAY 12 0 0 0 0 1 1 Self-employed 0.131189 0.691021 6.0 0.0 6.0 0.0 -1831.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 LOW HIGH SENIORS
307470 456213 0 Cash loans F Y Y 1 90000.000 258709.5 20439.0 234000.0 Spouse, partner Working Secondary / secondary special Married House / apartment 0.020246 14589.0 2145.0 2337.0 6211.0 18.0 1 1 1 1 1 0 High skill tech staff 3.0 3 3 THURSDAY 13 0 0 0 0 0 0 Self-employed 0.264486 0.565608 1.0 0.0 1.0 0.0 -637.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0 VLOW LOW MIDDLE-AGE
307471 456214 0 Cash loans M Y Y 2 135000.000 360000.0 23004.0 360000.0 Unaccompanied Commercial associate Secondary / secondary special Married With parents 0.018209 17477.0 6045.0 9985.0 1008.0 16.0 1 1 0 1 0 0 Laborers 4.0 3 3 MONDAY 10 0 0 0 0 0 0 Self-employed 0.502692 NaN 0.0 0.0 0.0 0.0 -2159.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN LOW LOW SENIORS
307473 456216 0 Cash loans F N N 2 135000.000 1762110.0 48456.0 1575000.0 Unaccompanied Working Higher education Married House / apartment 0.019689 13790.0 1878.0 3023.0 1798.0 0.0 1 1 0 1 0 0 NaN 4.0 2 2 MONDAY 12 0 0 0 0 0 0 Other 0.277728 0.771362 0.0 0.0 0.0 0.0 -2538.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 LOW VHIGH MIDDLE-AGE
307474 456217 0 Cash loans F N Y 0 360000.000 796396.5 38443.5 643500.0 Unaccompanied State servant Higher education Civil marriage House / apartment 0.007020 18463.0 698.0 3168.0 2021.0 0.0 1 1 0 1 0 0 Medicine staff 2.0 2 2 WEDNESDAY 13 0 0 0 0 0 0 Medicine 0.547811 0.667458 0.0 0.0 0.0 0.0 -1353.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0 VHIGH HIGH SENIORS
307475 456218 0 Cash loans F N Y 0 225000.000 1125000.0 40540.5 1125000.0 Family Commercial associate Higher education Married House / apartment 0.025164 19471.0 1864.0 322.0 2754.0 0.0 1 1 0 1 0 0 Core staff 2.0 2 2 THURSDAY 9 0 0 0 0 0 0 Self-employed 0.440537 0.420611 0.0 0.0 0.0 0.0 -549.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 0.0 2.0 HIGH VHIGH SENIORS
307476 456219 0 Cash loans F N Y 1 112500.000 521280.0 31630.5 450000.0 Spouse, partner Working Secondary / secondary special Married House / apartment 0.006207 13346.0 1972.0 11.0 1537.0 0.0 1 1 1 1 1 0 Sales staff 3.0 2 2 SUNDAY 10 0 0 0 0 1 1 Self-employed 0.226036 0.352340 3.0 0.0 3.0 0.0 -396.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 LOW MEDIOCRE MIDDLE-AGE
307477 456220 0 Cash loans F N N 1 81000.000 1350000.0 39474.0 1350000.0 Unaccompanied State servant Higher education Married Rented apartment 0.024610 10567.0 3855.0 1260.0 2188.0 0.0 1 1 0 1 0 0 Core staff 3.0 2 2 FRIDAY 11 0 0 0 0 0 0 Government 0.679122 0.647977 1.0 1.0 1.0 0.0 -1594.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 4.0 VLOW VHIGH MIDDLE-AGE
307479 456226 0 Cash loans F Y Y 0 225000.000 500566.5 34969.5 472500.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.031329 14106.0 226.0 2463.0 933.0 11.0 1 1 0 1 0 0 Managers 2.0 2 2 THURSDAY 15 0 0 0 0 0 0 Telecom 0.737905 0.394495 0.0 0.0 0.0 0.0 -611.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH MEDIOCRE MIDDLE-AGE
307480 456227 0 Cash loans F N Y 0 99000.000 247275.0 16479.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Separated House / apartment 0.007330 24911.0 365243.0 11211.0 4213.0 0.0 1 0 0 1 0 0 NaN 1.0 2 2 MONDAY 12 0 0 0 0 0 0 XNA 0.589906 0.520898 1.0 1.0 1.0 1.0 -1775.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 5.0 VLOW VLOW SENIORS
307481 456228 0 Cash loans F Y N 0 540000.000 545040.0 35617.5 450000.0 Unaccompanied Commercial associate Secondary / secondary special Married Rented apartment 0.032561 12847.0 328.0 2531.0 35.0 1.0 1 1 0 1 1 1 Managers 2.0 1 1 MONDAY 13 0 0 0 0 0 0 Business Entity Type 3 0.739703 NaN 0.0 0.0 0.0 0.0 -1578.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VHIGH MEDIOCRE MIDDLE-AGE
307482 456229 0 Revolving loans F N Y 1 270000.000 180000.0 9000.0 180000.0 Family Working Secondary / secondary special Separated With parents 0.003813 11973.0 670.0 1926.0 626.0 0.0 1 1 1 1 0 0 Sales staff 2.0 2 2 SATURDAY 18 1 1 0 1 1 0 Business Entity Type 3 0.702403 0.865896 0.0 0.0 0.0 0.0 -336.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH VLOW MIDDLE-AGE
307483 456230 0 Cash loans F Y Y 1 292500.000 355536.0 18283.5 270000.0 Unaccompanied Commercial associate Higher education Civil marriage House / apartment 0.072508 16010.0 1185.0 5034.0 4392.0 9.0 1 1 0 1 1 0 NaN 3.0 1 1 SATURDAY 17 0 0 0 0 0 0 Business Entity Type 2 0.661025 0.199771 0.0 0.0 0.0 0.0 0.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 1.0 VHIGH LOW MIDDLE-AGE
307484 456231 0 Cash loans M N Y 0 117000.000 1071909.0 31473.0 936000.0 Unaccompanied Pensioner Secondary / secondary special Married House / apartment 0.010147 23125.0 365243.0 5485.0 4115.0 0.0 1 0 0 1 0 0 NaN 2.0 2 2 WEDNESDAY 10 0 0 0 0 0 0 XNA 0.307082 0.255332 0.0 0.0 0.0 0.0 -846.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 8.0 LOW VHIGH SENIORS
307485 456232 0 Cash loans F N N 0 157500.000 135000.0 13351.5 135000.0 Unaccompanied State servant Higher education Single / not married House / apartment 0.004960 10092.0 1218.0 4158.0 2783.0 0.0 1 1 0 1 0 0 Core staff 1.0 2 2 WEDNESDAY 18 0 0 0 0 1 1 Government 0.619662 0.529890 1.0 0.0 1.0 0.0 -610.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 2.0 1.0 MEDIOCRE VLOW MIDDLE-AGE
307487 456234 0 Cash loans M N Y 0 81000.000 135000.0 9148.5 135000.0 Unaccompanied Commercial associate Higher education Single / not married House / apartment 0.010147 9874.0 1928.0 9445.0 2557.0 0.0 1 1 0 1 1 0 Laborers 1.0 2 2 SATURDAY 12 0 0 0 0 0 0 Business Entity Type 1 0.378421 0.495666 0.0 0.0 0.0 0.0 -439.0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VLOW VLOW MIDDLE-AGE
307488 456235 0 Cash loans M Y Y 2 90000.000 1078200.0 31522.5 900000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.019101 10976.0 1953.0 5048.0 3369.0 15.0 1 1 1 1 0 0 Drivers 4.0 2 2 SATURDAY 10 0 0 0 0 0 0 Self-employed 0.561158 0.716570 4.0 0.0 4.0 0.0 -1357.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 7.0 VLOW VHIGH MIDDLE-AGE
307489 456236 0 Cash loans M Y Y 0 585000.000 1575000.0 43443.0 1575000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.028663 20965.0 1618.0 1764.0 4410.0 2.0 1 1 0 1 0 0 Sales staff 2.0 2 2 FRIDAY 10 0 0 0 0 0 0 Self-employed 0.599173 0.365617 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 VHIGH VHIGH SENIORS
307490 456237 0 Cash loans F N Y 0 135000.000 946764.0 37678.5 765000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.019689 17533.0 2306.0 5032.0 1094.0 0.0 1 1 0 1 0 0 Security staff 2.0 2 2 MONDAY 12 0 0 0 0 1 1 School 0.424683 0.728141 0.0 0.0 0.0 0.0 -249.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 1.0 7.0 LOW VHIGH SENIORS
307491 456238 0 Cash loans M Y N 1 270000.000 479700.0 46858.5 450000.0 Family Commercial associate Secondary / secondary special Married House / apartment 0.035792 14958.0 6573.0 1438.0 4519.0 15.0 1 1 0 1 0 0 Drivers 3.0 2 2 MONDAY 9 0 0 0 0 0 0 Self-employed 0.699727 0.511892 11.0 0.0 11.0 0.0 -367.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 1.0 0.0 0.0 1.0 VHIGH MEDIOCRE MIDDLE-AGE
307492 456239 0 Cash loans M Y N 0 180000.000 808650.0 23773.5 675000.0 Unaccompanied Working Higher education Married House / apartment 0.025164 20922.0 7438.0 9596.0 4440.0 2.0 1 1 0 1 1 0 High skill tech staff 2.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 Business Entity Type 3 0.267834 0.597192 0.0 0.0 0.0 0.0 -2919.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 HIGH HIGH SENIORS
307493 456240 0 Revolving loans F N N 0 360000.000 337500.0 16875.0 337500.0 Family Working Higher education Married House / apartment 0.004960 17345.0 2178.0 4262.0 876.0 0.0 1 1 0 1 0 0 Cooking staff 2.0 2 2 THURSDAY 13 0 0 0 0 0 0 Self-employed 0.512081 0.486653 0.0 0.0 0.0 0.0 -826.0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 VHIGH LOW SENIORS
307494 456241 0 Cash loans F Y Y 0 180000.000 270126.0 12028.5 193500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.007020 16679.0 1222.0 1916.0 222.0 0.0 1 1 0 1 0 0 Sales staff 2.0 2 2 THURSDAY 13 0 0 0 0 1 1 Trade: type 7 0.651306 0.524496 0.0 0.0 0.0 0.0 -1344.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 6.0 HIGH LOW SENIORS
307495 456242 0 Cash loans M Y Y 0 198000.000 1312110.0 52168.5 1125000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.072508 19102.0 3689.0 746.0 2650.0 10.0 1 1 0 1 0 0 Laborers 2.0 1 1 MONDAY 10 0 0 0 0 0 0 Construction 0.746259 0.406617 0.0 0.0 0.0 0.0 -734.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 2.0 HIGH VHIGH SENIORS
307496 456243 0 Cash loans F N Y 0 81000.000 225000.0 12694.5 225000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.007020 16988.0 8694.0 5396.0 509.0 0.0 1 1 1 1 1 0 Medicine staff 2.0 2 2 TUESDAY 15 0 0 0 0 0 0 Medicine 0.649123 0.206779 4.0 0.0 4.0 0.0 -1511.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 1.0 0.0 VLOW VLOW SENIORS
307497 456244 0 Cash loans F N Y 0 261000.000 1303812.0 35982.0 1138500.0 Unaccompanied Working Higher education Married House / apartment 0.031329 20390.0 5326.0 157.0 3906.0 0.0 1 1 0 1 0 1 NaN 2.0 2 2 FRIDAY 10 0 0 0 0 0 0 Business Entity Type 3 0.789389 0.337673 0.0 0.0 0.0 0.0 -1459.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 5.0 VHIGH VHIGH SENIORS
307498 456245 0 Cash loans F N Y 3 81000.000 269550.0 11871.0 225000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.009175 12961.0 1046.0 1398.0 3780.0 0.0 1 1 1 1 0 0 Low-skill Laborers 5.0 2 2 WEDNESDAY 14 0 0 0 0 0 0 Industry: type 1 0.575481 NaN 2.0 1.0 2.0 1.0 -448.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW LOW MIDDLE-AGE
307499 456246 0 Cash loans F N Y 1 94500.000 225000.0 10620.0 225000.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010966 16063.0 8736.0 8672.0 4531.0 0.0 1 1 1 1 0 0 Laborers 3.0 2 2 MONDAY 16 0 0 0 0 1 1 School 0.313334 0.735221 0.0 0.0 0.0 0.0 -1516.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VLOW VLOW MIDDLE-AGE
307500 456247 0 Cash loans F N Y 0 112500.000 345510.0 17770.5 247500.0 Unaccompanied Commercial associate Higher education Single / not married House / apartment 0.022800 11870.0 399.0 675.0 3936.0 0.0 1 1 0 1 0 1 Core staff 1.0 2 2 SATURDAY 11 0 0 0 0 0 0 Bank 0.501221 0.609276 9.0 3.0 9.0 2.0 -2315.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 1.0 0.0 2.0 LOW LOW MIDDLE-AGE
307501 456248 0 Cash loans F N Y 0 153000.000 331920.0 16096.5 225000.0 Unaccompanied Working Secondary / secondary special Separated House / apartment 0.022625 16705.0 7258.0 9798.0 259.0 0.0 1 1 0 1 0 0 Sales staff 1.0 2 2 WEDNESDAY 11 0 0 0 0 0 0 Self-employed 0.530725 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN MEDIOCRE LOW SENIORS
307502 456249 0 Cash loans F N Y 0 112500.000 225000.0 22050.0 225000.0 Unaccompanied Pensioner Secondary / secondary special Single / not married House / apartment 0.022800 24384.0 365243.0 7369.0 2357.0 0.0 1 0 0 1 1 0 NaN 1.0 2 2 MONDAY 15 0 0 0 0 0 0 XNA 0.346391 0.742182 0.0 0.0 0.0 0.0 0.0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 0.0 LOW VLOW SENIORS
307503 456251 0 Cash loans M N N 0 157500.000 254700.0 27558.0 225000.0 Unaccompanied Working Secondary / secondary special Separated With parents 0.032561 9327.0 236.0 8456.0 1982.0 0.0 1 1 0 1 0 0 Sales staff 1.0 1 1 THURSDAY 15 0 0 0 0 0 0 Services 0.681632 NaN 0.0 0.0 0.0 0.0 -273.0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN MEDIOCRE VLOW MIDDLE-AGE
307504 456252 0 Cash loans F N Y 0 72000.000 269550.0 12001.5 225000.0 Unaccompanied Pensioner Secondary / secondary special Widow House / apartment 0.025164 20775.0 365243.0 4388.0 4090.0 0.0 1 0 0 1 1 0 NaN 1.0 2 2 MONDAY 8 0 0 0 0 0 0 XNA 0.115992 NaN 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VLOW LOW SENIORS
307505 456253 0 Cash loans F N Y 0 153000.000 677664.0 29979.0 585000.0 Unaccompanied Working Higher education Separated House / apartment 0.005002 14966.0 7921.0 6737.0 5150.0 0.0 1 1 0 1 0 1 Managers 1.0 3 3 THURSDAY 9 0 0 0 0 1 1 School 0.535722 0.218859 6.0 0.0 6.0 0.0 -1909.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.0 0.0 0.0 1.0 0.0 1.0 MEDIOCRE HIGH MIDDLE-AGE
307507 456255 0 Cash loans F N N 0 157500.000 675000.0 49117.5 675000.0 Unaccompanied Commercial associate Higher education Married House / apartment 0.046220 16856.0 1262.0 5128.0 410.0 0.0 1 1 1 1 1 0 Laborers 2.0 1 1 THURSDAY 20 0 0 0 0 1 1 Business Entity Type 3 0.708569 0.113922 0.0 0.0 0.0 0.0 -787.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 2.0 0.0 1.0 MEDIOCRE HIGH SENIORS

282683 rows × 77 columns

In [49]:
### we can also use loc for separate the dataset
t0 = app1.loc[app1["TARGET"] == 0]   ### No payment issues
t1 = app1.loc[app1["TARGET"] == 1]   #### Payment issues
In [50]:
### Cheking on payment issues with income groups
t1.shape, t0.shape
Out[50]:
((24825, 77), (282683, 77))
In [51]:
sns.distplot(t0.AMT_INCOME_TOTAL, norm_hist=True)
#plt.ylim(0, 4)
plt.xlim(0, 0.2e7)
plt.show();
In [52]:
sns.distplot(t1.AMT_INCOME_TOTAL, norm_hist=True)
# control x and y limits
#plt.ylim(0, 4)
plt.xlim(0, 1e7)
plt.show();
In [53]:
t1[t1["AMT_INCOME_TOTAL"] > 11700000]
Out[53]:
SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE NAME_TYPE_SUITE NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL OCCUPATION_TYPE CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY WEEKDAY_APPR_PROCESS_START HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY ORGANIZATION_TYPE EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR AMT_INCOME_CAT AMT_CREDIT_CAT DAYS_BIRTH_CAT
12840 114967 1 Cash loans F N Y 1 117000000.0 562491.0 26194.5 454500.0 Unaccompanied Working Secondary / secondary special Married House / apartment 0.010643 12615.0 922.0 6762.0 3643.0 0.0 1 1 0 1 0 0 Laborers 3.0 2 2 TUESDAY 14 0 0 0 0 0 0 Business Entity Type 3 0.113161 0.145543 0.0 0.0 0.0 0.0 0.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.0 0.0 0.0 0.0 0.0 1.0 VHIGH MEDIOCRE MIDDLE-AGE
In [54]:
t1["AMT_INCOME_TOTAL"].drop(labels = [12840], axis =0, inplace = True)
In [55]:
fig = px.box(t1, y="AMT_INCOME_TOTAL",title='AMT_INCOME_DISTRIBUTION' )
fig.show()
In [56]:
t0[t0["AMT_INCOME_TOTAL"] > 15000000]
Out[56]:
SK_ID_CURR TARGET NAME_CONTRACT_TYPE CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY CNT_CHILDREN AMT_INCOME_TOTAL AMT_CREDIT AMT_ANNUITY AMT_GOODS_PRICE NAME_TYPE_SUITE NAME_INCOME_TYPE NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE REGION_POPULATION_RELATIVE DAYS_BIRTH DAYS_EMPLOYED DAYS_REGISTRATION DAYS_ID_PUBLISH OWN_CAR_AGE FLAG_MOBIL FLAG_EMP_PHONE FLAG_WORK_PHONE FLAG_CONT_MOBILE FLAG_PHONE FLAG_EMAIL OCCUPATION_TYPE CNT_FAM_MEMBERS REGION_RATING_CLIENT REGION_RATING_CLIENT_W_CITY WEEKDAY_APPR_PROCESS_START HOUR_APPR_PROCESS_START REG_REGION_NOT_LIVE_REGION REG_REGION_NOT_WORK_REGION LIVE_REGION_NOT_WORK_REGION REG_CITY_NOT_LIVE_CITY REG_CITY_NOT_WORK_CITY LIVE_CITY_NOT_WORK_CITY ORGANIZATION_TYPE EXT_SOURCE_2 EXT_SOURCE_3 OBS_30_CNT_SOCIAL_CIRCLE DEF_30_CNT_SOCIAL_CIRCLE OBS_60_CNT_SOCIAL_CIRCLE DEF_60_CNT_SOCIAL_CIRCLE DAYS_LAST_PHONE_CHANGE FLAG_DOCUMENT_2 FLAG_DOCUMENT_3 FLAG_DOCUMENT_4 FLAG_DOCUMENT_5 FLAG_DOCUMENT_6 FLAG_DOCUMENT_7 FLAG_DOCUMENT_8 FLAG_DOCUMENT_9 FLAG_DOCUMENT_10 FLAG_DOCUMENT_11 FLAG_DOCUMENT_12 FLAG_DOCUMENT_13 FLAG_DOCUMENT_14 FLAG_DOCUMENT_15 FLAG_DOCUMENT_16 FLAG_DOCUMENT_17 FLAG_DOCUMENT_18 FLAG_DOCUMENT_19 FLAG_DOCUMENT_20 FLAG_DOCUMENT_21 AMT_REQ_CREDIT_BUREAU_HOUR AMT_REQ_CREDIT_BUREAU_DAY AMT_REQ_CREDIT_BUREAU_WEEK AMT_REQ_CREDIT_BUREAU_MON AMT_REQ_CREDIT_BUREAU_QRT AMT_REQ_CREDIT_BUREAU_YEAR AMT_INCOME_CAT AMT_CREDIT_CAT DAYS_BIRTH_CAT
203690 336147 0 Cash loans M Y Y 2 18000090.0 675000.0 69295.5 675000.0 Unaccompanied Commercial associate Secondary / secondary special Married House / apartment 0.030755 15704.0 4961.0 3338.0 4728.0 7.0 1 1 0 1 0 0 NaN 4.0 2 2 THURSDAY 22 0 0 0 0 0 0 Business Entity Type 3 0.788606 NaN 1.0 0.0 1.0 0.0 -1133.0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 NaN NaN NaN NaN NaN NaN VHIGH HIGH MIDDLE-AGE
In [57]:
t0["AMT_INCOME_TOTAL"].drop(labels = [203690], axis =0, inplace = True)
In [58]:
fig = px.box(t0, y="AMT_INCOME_TOTAL",title='AMT_INCOME_DISTRIBUTION' )
fig.show()

We will start with univariate analysis of target-1 group

In [59]:
### Checking on gender distribution of payment issues
t1["CODE_GENDER"].value_counts().plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("CODE_GENDER", labelpad=8)
plt.ylabel("COUNTS", labelpad=8)
plt.title("GENDER_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
In [60]:
t0["CODE_GENDER"].value_counts().plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("CODE_GENDER", labelpad=8)
plt.ylabel("COUNTS", labelpad=8)
plt.title("GENDER_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);

Observations

  • Based on gender distribution, we observe that payment issues are observed more for female in target0 group.
  • At the same time, females are also paying well with no-payment issues in target-1 group.
  • Data is more saturated with female payments and non-payments issues
In [61]:
### Checking on income type distribution of payment issues
per_income_type = t1["NAME_INCOME_TYPE"].value_counts()/len(t1)*100
per_income_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("INCOME_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("INCOME_TYPE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);

Observations

  • We can observe that 60% payment issues are from working professionals.
  • We can observe that 21-23% payment issues are from Commercial associate.
  • We can observe that 10% and 5% payment issues from pensioners and state servant.
In [62]:
#### Observations in t0 group
per_income_type = t0["NAME_INCOME_TYPE"].value_counts()/len(t0)*100
per_income_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("INCOME_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("INCOME_TYPE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
In [63]:
### Checking on contract type distribution for payment issues
per_contract_type = t1["NAME_CONTRACT_TYPE"].value_counts()/len(t1)*100
per_contract_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("CONTRACT_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("CONTRACT_TYPE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);

Observations

  • Most of the payment issues are with cash loans
In [64]:
### Checking on education type distribution for payment issues
per_edu_type = t1["NAME_EDUCATION_TYPE"].value_counts()/len(t1)*100
per_edu_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("CONTRACT_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("EDUCATION_TYPE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
In [65]:
### Checking on Family status distribution for payment issues
per_fstat_type = t1["NAME_FAMILY_STATUS"].value_counts()/len(t1)*100
per_fstat_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("FAMILY_STATUS_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("FAMILY_STATUS_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);
In [66]:
### Checking on housing type distribution for payment issues
per_house_type = t1["NAME_HOUSING_TYPE"].value_counts()/len(t1)*100
per_house_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("HOUSE_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("HOUSE_TYPE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);

Observations

  • Payments issues observed for people with secondary/secondary special education
  • Payment issues obviously observed for Married people
  • Payment concerns are observed for people buying own house/apartment
In [67]:
## Income range for payment issues
per_income_cat_type = t1["AMT_INCOME_CAT"].value_counts()/len(t1)*100
per_income_cat_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("INCOME_CATEGORY", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("INCOME_CATEGORY_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);

Observations

  • Payments issues observed for people with low salary profiles around 30%
In [68]:
## Income range for payment issues
per_birth_cat_type = t1["DAYS_BIRTH_CAT"].value_counts()/len(t1)*100
per_birth_cat_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("AGE_GROUP_CATEGORY", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("AGE_GROUP_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);

Observations

  • Payments issues observed for middle aged people 60%
In [69]:
## NAME_TYPE_SUITE for payment issues
per_name_suite_type = t1["NAME_TYPE_SUITE"].value_counts()/len(t1)*100
per_name_suite_type.plot(kind='bar', figsize=(8, 6), rot=90)
plt.xlabel("TYPE_SUITE_CATEGORY", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("TYPE_SUITE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);

Observations

  • Payments issues observed for unaccompanied about 80% and family group with 10-12%
In [70]:
## ORGANIZATION_TYPE for payment issues
per_org_type = t1["ORGANIZATION_TYPE"].value_counts()/len(t1)*100
per_org_type.plot(kind='bar', figsize=(15, 12), rot=90)
plt.xlabel("ORGANIZATION_TYPE", labelpad=8)
plt.ylabel("PERCENTAGE", labelpad=8)
plt.title("ORGANIZATION_TYPE_DISTRIBUTION_WITH_PAYMENT_ISSUES", y=1.05);

Observations

  • Payments concerns observed for Business type-3(25-27%) and self employed(16-17%) people
In [71]:
### Instead of accessing columns, we will create a list and perform visualizations
obj_cols  = t1.select_dtypes("object").columns
cat_cols = t1.select_dtypes("category").columns
num_cols = t1.select_dtypes("float64", "int64").columns
### Moving them to separate lists
obj_lis  = list(obj_cols)
cat_lis  = list(cat_cols)
num_lis  = list(num_cols)
In [72]:
### Using for loop to plots the graph for analysis for object data types
for i in obj_lis:
    
    obj_counts_1=t1[i].value_counts(normalize=True)
    fig,(ax1,ax2,ax3) = plt.subplots(1,3,sharey=True,gridspec_kw={'width_ratios':[1,1, 0.001]},figsize=(15,3))
    print("Plot for ",i)
    char_1=sns.barplot(x=obj_counts_1.index, y=obj_counts_1, ax=ax1, palette="husl")
    char_1.set_xticklabels(char_1.get_xticklabels(minor=False), rotation=90, horizontalalignment='right')
    char_1.axes.set_title('Pay issues',fontsize= 12,fontweight= 7,color='blue')
    obj_counts_2=t0[i].value_counts(normalize=True)
    char_2=sns.barplot(x=obj_counts_2.index, y=obj_counts_2,ax=ax2, palette="Blues_d")
    char_2.set_xticklabels(char_2.get_xticklabels(), rotation=90, horizontalalignment='right')
    char_2.axes.set_title('No Pay issues',fontsize= 12,fontweight= 7,color='blue')
    plt.show();
Plot for  NAME_CONTRACT_TYPE
Plot for  CODE_GENDER
Plot for  FLAG_OWN_CAR
Plot for  FLAG_OWN_REALTY
Plot for  NAME_TYPE_SUITE
Plot for  NAME_INCOME_TYPE
Plot for  NAME_EDUCATION_TYPE
Plot for  NAME_FAMILY_STATUS
Plot for  NAME_HOUSING_TYPE
Plot for  OCCUPATION_TYPE
Plot for  WEEKDAY_APPR_PROCESS_START
Plot for  ORGANIZATION_TYPE
In [73]:
### Using for loop to plots the graph for analysis for category data types
for i in cat_lis:
    
    cat_counts_1=t1[i].value_counts(normalize=True)
    fig,(ax1,ax2,ax3) = plt.subplots(1,3,sharey=True,gridspec_kw={'width_ratios':[1,1, 0.001]},figsize=(15,3))
    print("Plot for ",i)
    char_1=sns.barplot(x=cat_counts_1.index, y=cat_counts_1, ax=ax1, palette="husl")
    char_1.set_xticklabels(char_1.get_xticklabels(minor=False), rotation=90, horizontalalignment='right')
    char_1.axes.set_title('Pay issues',fontsize= 12,fontweight= 7,color='blue')
    cat_counts_2=t0[i].value_counts(normalize=True)
    char_2=sns.barplot(x=cat_counts_1.index, y=cat_counts_2,ax=ax2, palette="Blues_d")
    char_2.set_xticklabels(char_2.get_xticklabels(), rotation=90, horizontalalignment='right')
    char_2.axes.set_title('No Pay issues',fontsize= 12,fontweight= 7,color='blue')
    plt.show();
Plot for  AMT_INCOME_CAT
Plot for  AMT_CREDIT_CAT
Plot for  DAYS_BIRTH_CAT
In [74]:
t1.NAME_CONTRACT_TYPE.value_counts(normalize = True), t0.NAME_CONTRACT_TYPE.value_counts(normalize = True)
Out[74]:
(Cash loans         0.935388
 Revolving loans    0.064612
 Name: NAME_CONTRACT_TYPE, dtype: float64, Cash loans         0.902106
 Revolving loans    0.097894
 Name: NAME_CONTRACT_TYPE, dtype: float64)

Observation from categorical/object columns (Univariate analysis)

  • Cash Loans have high volume than revolving loans. No pay issues - 90% , Pay issues -93%
  • In both groups unaccompanied are applying loans for Target 0 and Target 1, This factor will not influence payment default.
  • Income type, 50% working people:Target 0 and 60% working people:Target 1.
  • In both target groups, loan applicants with Secondary Education/Special are more, numbers are higher in Target-1 group, the question is why more Secondary education applicants are more, need more details
  • Married applicants have applied for loans more in both groups (around 60%)
  • People having real estate and "House/apartment" have payment issues, this cannot be a factor to judge the same.
  • Labours, sales staff and drivers have much of the payment issues, labours are primary defaulters
  • Payments concerns observed for Business type-3(25-27%) and self employed(16-17%) people.
  • Females tend to have more payment issues relative to males.
  • People with no cars have more defaulters than people with cars.
  • Most of middle aged people are having payment issues.
In [75]:
### Using for loop to plots the graph for analysis for numerical data types
for i in num_lis:
    num_1=t1[i].value_counts()
    fig,(ax1,ax2,ax3) = plt.subplots(1,3,sharey=True,gridspec_kw={'width_ratios':[1,1, 0.01]},figsize=(14,4))
    print("Graph: ",i)
    char_1=sns.distplot(t1[i], ax=ax1,hist = False)
    char_1.axes.set_title('Pay issues',fontsize= 12,fontweight= 7,color='Green')
    
    num_2=t0[i].value_counts()
    char_2=sns.distplot(t0[i],ax=ax2,hist = False)
    char_2.axes.set_title('No Pay issues',fontsize= 12,fontweight= 7,color='Green')
    plt.show()
Graph:  AMT_INCOME_TOTAL
Graph:  AMT_CREDIT
Graph:  AMT_ANNUITY
Graph:  AMT_GOODS_PRICE
Graph:  REGION_POPULATION_RELATIVE
Graph:  DAYS_BIRTH
Graph:  DAYS_EMPLOYED
Graph:  DAYS_REGISTRATION
Graph:  DAYS_ID_PUBLISH
Graph:  OWN_CAR_AGE
Graph:  CNT_FAM_MEMBERS
Graph:  EXT_SOURCE_2
Graph:  EXT_SOURCE_3
Graph:  OBS_30_CNT_SOCIAL_CIRCLE
Graph:  DEF_30_CNT_SOCIAL_CIRCLE
Graph:  OBS_60_CNT_SOCIAL_CIRCLE
Graph:  DEF_60_CNT_SOCIAL_CIRCLE
Graph:  DAYS_LAST_PHONE_CHANGE
Graph:  AMT_REQ_CREDIT_BUREAU_HOUR
Graph:  AMT_REQ_CREDIT_BUREAU_DAY
Graph:  AMT_REQ_CREDIT_BUREAU_WEEK
Graph:  AMT_REQ_CREDIT_BUREAU_MON
Graph:  AMT_REQ_CREDIT_BUREAU_QRT
Graph:  AMT_REQ_CREDIT_BUREAU_YEAR
In [77]:
for i in num_lis:
    sns.distplot(t0[i], hist = False, label = 'No Pay issues')
    sns.distplot(t1[i], hist = False, label = 'Pay issues')
    plt.show();

Observations

  • Credit amount is lower for Target 1, which is a good sign as lesser default loss to the company.
  • Youger people are defaulters more
  • External sources show higher frequency of scores for target-0 group
  • observation of client's social surroundings (OBS_30_CNT_SOCIAL_CIRCLE, DEF_30_CNT_SOCIAL_CIRCLE, OBS_60_CNT_SOCIAL_CIRCLE, DEF_60_CNT_SOCIAL_CIRCLE)is more prominent for Target-1 group
  • Days employed doesn't have proper information based on plot data
  • Number of enquiries to Credit Bureau is observed for people with payment issues(Target-1) as they have applied at several companies
In [76]:
t1.DAYS_LAST_PHONE_CHANGE =  abs(t1["DAYS_LAST_PHONE_CHANGE"])
t0.DAYS_LAST_PHONE_CHANGE =  abs(t0["DAYS_LAST_PHONE_CHANGE"])
In [77]:
plt.figure(figsize=(8,6))

grap=sns.countplot(x='AMT_CREDIT_CAT', data=app1, hue="TARGET", palette="Paired")
grap.set_xticklabels(grap.get_xticklabels(), rotation=90, horizontalalignment='right')
grap.axes.set_title('AMT_CREDIT_CAT',fontsize= 10,fontweight= 5,color='Green')
plt.show();
In [78]:
t1.DAYS_LAST_PHONE_CHANGE.describe()
Out[78]:
count    24825.000000
mean       808.796818
std        758.090713
min          0.000000
25%        194.000000
50%        594.000000
75%       1301.000000
max       4070.000000
Name: DAYS_LAST_PHONE_CHANGE, dtype: float64
In [79]:
t1.DAYS_LAST_PHONE_CHANGE.plot(kind="hist")
Out[79]:
<matplotlib.axes._subplots.AxesSubplot at 0x128647ea7b8>
In [80]:
col_reg = [c for c in t1.columns if c.startswith('REG')]
col_reg
Out[80]:
['REGION_POPULATION_RELATIVE',
 'REGION_RATING_CLIENT',
 'REGION_RATING_CLIENT_W_CITY',
 'REG_REGION_NOT_LIVE_REGION',
 'REG_REGION_NOT_WORK_REGION',
 'REG_CITY_NOT_LIVE_CITY',
 'REG_CITY_NOT_WORK_CITY']
In [81]:
for i in col_reg:
    sns.distplot(t0[i], hist = False, label = 'No Pay issues')
    sns.distplot(t1[i], hist = False, label = 'Pay issues')
    plt.show();

Observations

  • People with payment issues (target-1) have client's permanent address does not match well with contact and work address lot of changes have been made based on data.
  • There is tendency of people with payment issues living away from city limits probably the cost of living.

Bi-variate analysis (Checking on two variables at a time)

In [82]:
## Saving the two group of people in separate files for reference
t1.to_csv('t1_app.csv', index=False)
t0.to_csv('t0_app.csv', index=False)
In [83]:
t1 = pd.read_csv("t1_app.csv")
t0 = pd.read_csv("t0_app.csv")
In [84]:
t1.columns
Out[84]:
Index(['SK_ID_CURR', 'TARGET', 'NAME_CONTRACT_TYPE', 'CODE_GENDER',
       'FLAG_OWN_CAR', 'FLAG_OWN_REALTY', 'CNT_CHILDREN', 'AMT_INCOME_TOTAL',
       'AMT_CREDIT', 'AMT_ANNUITY', 'AMT_GOODS_PRICE', 'NAME_TYPE_SUITE',
       'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE', 'NAME_FAMILY_STATUS',
       'NAME_HOUSING_TYPE', 'REGION_POPULATION_RELATIVE', 'DAYS_BIRTH',
       'DAYS_EMPLOYED', 'DAYS_REGISTRATION', 'DAYS_ID_PUBLISH', 'OWN_CAR_AGE',
       'FLAG_MOBIL', 'FLAG_EMP_PHONE', 'FLAG_WORK_PHONE', 'FLAG_CONT_MOBILE',
       'FLAG_PHONE', 'FLAG_EMAIL', 'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS',
       'REGION_RATING_CLIENT', 'REGION_RATING_CLIENT_W_CITY',
       'WEEKDAY_APPR_PROCESS_START', 'HOUR_APPR_PROCESS_START',
       'REG_REGION_NOT_LIVE_REGION', 'REG_REGION_NOT_WORK_REGION',
       'LIVE_REGION_NOT_WORK_REGION', 'REG_CITY_NOT_LIVE_CITY',
       'REG_CITY_NOT_WORK_CITY', 'LIVE_CITY_NOT_WORK_CITY',
       'ORGANIZATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
       'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
       'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
       'DAYS_LAST_PHONE_CHANGE', 'FLAG_DOCUMENT_2', 'FLAG_DOCUMENT_3',
       'FLAG_DOCUMENT_4', 'FLAG_DOCUMENT_5', 'FLAG_DOCUMENT_6',
       'FLAG_DOCUMENT_7', 'FLAG_DOCUMENT_8', 'FLAG_DOCUMENT_9',
       'FLAG_DOCUMENT_10', 'FLAG_DOCUMENT_11', 'FLAG_DOCUMENT_12',
       'FLAG_DOCUMENT_13', 'FLAG_DOCUMENT_14', 'FLAG_DOCUMENT_15',
       'FLAG_DOCUMENT_16', 'FLAG_DOCUMENT_17', 'FLAG_DOCUMENT_18',
       'FLAG_DOCUMENT_19', 'FLAG_DOCUMENT_20', 'FLAG_DOCUMENT_21',
       'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
       'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
       'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR',
       'AMT_INCOME_CAT', 'AMT_CREDIT_CAT', 'DAYS_BIRTH_CAT'],
      dtype='object')
In [85]:
plt.figure(figsize = (18,8))
plt.subplot(1,2,1)
plt.title("Income & Amt Credit group for Target 1")
sns.boxplot(x = 'AMT_INCOME_CAT', y = 'AMT_CREDIT', data =t1, showfliers=False, palette="cubehelix")

plt.subplot(1,2,2)
plt.title("Income & Amt Credit group for Target 0")
sns.boxplot(x = 'AMT_INCOME_CAT', y = 'AMT_CREDIT', data = t0, showfliers=False, palette="cubehelix")
plt.show();
In [86]:
plt.figure(figsize = (20,4))
plt.subplot(1,2,1)
plt.title("Income_Group and Payment Diffculty")
sns.countplot('AMT_INCOME_CAT', hue = 'TARGET', data =app1)
plt.show()
In [87]:
app1.columns
Out[87]:
Index(['SK_ID_CURR', 'TARGET', 'NAME_CONTRACT_TYPE', 'CODE_GENDER',
       'FLAG_OWN_CAR', 'FLAG_OWN_REALTY', 'CNT_CHILDREN', 'AMT_INCOME_TOTAL',
       'AMT_CREDIT', 'AMT_ANNUITY', 'AMT_GOODS_PRICE', 'NAME_TYPE_SUITE',
       'NAME_INCOME_TYPE', 'NAME_EDUCATION_TYPE', 'NAME_FAMILY_STATUS',
       'NAME_HOUSING_TYPE', 'REGION_POPULATION_RELATIVE', 'DAYS_BIRTH',
       'DAYS_EMPLOYED', 'DAYS_REGISTRATION', 'DAYS_ID_PUBLISH', 'OWN_CAR_AGE',
       'FLAG_MOBIL', 'FLAG_EMP_PHONE', 'FLAG_WORK_PHONE', 'FLAG_CONT_MOBILE',
       'FLAG_PHONE', 'FLAG_EMAIL', 'OCCUPATION_TYPE', 'CNT_FAM_MEMBERS',
       'REGION_RATING_CLIENT', 'REGION_RATING_CLIENT_W_CITY',
       'WEEKDAY_APPR_PROCESS_START', 'HOUR_APPR_PROCESS_START',
       'REG_REGION_NOT_LIVE_REGION', 'REG_REGION_NOT_WORK_REGION',
       'LIVE_REGION_NOT_WORK_REGION', 'REG_CITY_NOT_LIVE_CITY',
       'REG_CITY_NOT_WORK_CITY', 'LIVE_CITY_NOT_WORK_CITY',
       'ORGANIZATION_TYPE', 'EXT_SOURCE_2', 'EXT_SOURCE_3',
       'OBS_30_CNT_SOCIAL_CIRCLE', 'DEF_30_CNT_SOCIAL_CIRCLE',
       'OBS_60_CNT_SOCIAL_CIRCLE', 'DEF_60_CNT_SOCIAL_CIRCLE',
       'DAYS_LAST_PHONE_CHANGE', 'FLAG_DOCUMENT_2', 'FLAG_DOCUMENT_3',
       'FLAG_DOCUMENT_4', 'FLAG_DOCUMENT_5', 'FLAG_DOCUMENT_6',
       'FLAG_DOCUMENT_7', 'FLAG_DOCUMENT_8', 'FLAG_DOCUMENT_9',
       'FLAG_DOCUMENT_10', 'FLAG_DOCUMENT_11', 'FLAG_DOCUMENT_12',
       'FLAG_DOCUMENT_13', 'FLAG_DOCUMENT_14', 'FLAG_DOCUMENT_15',
       'FLAG_DOCUMENT_16', 'FLAG_DOCUMENT_17', 'FLAG_DOCUMENT_18',
       'FLAG_DOCUMENT_19', 'FLAG_DOCUMENT_20', 'FLAG_DOCUMENT_21',
       'AMT_REQ_CREDIT_BUREAU_HOUR', 'AMT_REQ_CREDIT_BUREAU_DAY',
       'AMT_REQ_CREDIT_BUREAU_WEEK', 'AMT_REQ_CREDIT_BUREAU_MON',
       'AMT_REQ_CREDIT_BUREAU_QRT', 'AMT_REQ_CREDIT_BUREAU_YEAR',
       'AMT_INCOME_CAT', 'AMT_CREDIT_CAT', 'DAYS_BIRTH_CAT'],
      dtype='object')
In [88]:
piv1 = pd.pivot_table(data = app1, index = "AMT_INCOME_CAT", columns = "TARGET",values='AMT_CREDIT', aggfunc="mean")
piv1
Out[88]:
TARGET 0 1
AMT_INCOME_CAT
VLOW 385910.055205 401071.078852
LOW 515987.800804 496230.923218
MEDIOCRE 604593.018070 574222.523384
HIGH 699630.470905 643297.927515
VHIGH 890191.216722 786021.833496
In [89]:
piv2 = pd.pivot_table(data = app1, index = "DAYS_BIRTH_CAT", columns = "TARGET",values='AMT_CREDIT', aggfunc="mean")
piv2
Out[89]:
TARGET 0 1
DAYS_BIRTH_CAT
TEENAGE 414805.759989 415780.998329
MIDDLE-AGE 598925.529508 543322.883919
SENIORS 622079.330806 607769.362645
In [90]:
piv3 = pd.pivot_table(data = app1, index = "NAME_INCOME_TYPE", columns = "CODE_GENDER",values='AMT_CREDIT', aggfunc="mean")
piv3
Out[90]:
CODE_GENDER F M XNA
NAME_INCOME_TYPE
Businessman 1.125000e+06 1.272857e+06 NaN
Commercial associate 6.651503e+05 6.777461e+05 540000.0
Maternity leave 7.458750e+05 7.650000e+05 NaN
Pensioner 5.363186e+05 5.704503e+05 NaN
State servant 6.624039e+05 6.899287e+05 NaN
Student 3.725563e+05 5.987528e+05 NaN
Unemployed 7.403824e+05 8.460000e+05 NaN
Working 5.744283e+05 5.810590e+05 352500.0
In [91]:
piv4 = pd.pivot_table(data = t1, index = "NAME_INCOME_TYPE", columns = "CODE_GENDER",values='AMT_CREDIT', aggfunc="mean")
piv4
Out[91]:
CODE_GENDER F M
NAME_INCOME_TYPE
Commercial associate 613418.006402 599681.603679
Maternity leave 929250.000000 NaN
Pensioner 558498.129737 556644.763194
State servant 614061.717237 616406.753731
Unemployed 653250.000000 546750.000000
Working 537034.975876 533821.403301
In [92]:
piv5 = pd.pivot_table(data = app1, index = "NAME_EDUCATION_TYPE", columns = "TARGET",values='AMT_CREDIT', aggfunc="mean")
piv5
Out[92]:
TARGET 0 1
NAME_EDUCATION_TYPE
Academic degree 719290.844720 950245.500000
Higher education 692439.813734 645981.010851
Incomplete higher 569727.478041 534740.986239
Lower secondary 490695.314303 481589.525180
Secondary / secondary special 574033.649640 542263.182160
In [93]:
piv6 = pd.pivot_table(data = t1, index = "NAME_EDUCATION_TYPE", columns = "TARGET",values='AMT_CREDIT', aggfunc="mean")
piv6
Out[93]:
TARGET 1
NAME_EDUCATION_TYPE
Academic degree 950245.500000
Higher education 645981.010851
Incomplete higher 534740.986239
Lower secondary 481589.525180
Secondary / secondary special 542263.182160
In [94]:
### Checking on contract type and target groups with gender
plt.figure(figsize = (20,4))
plt.subplot(1,2,1)
plt.title("CONTRACT_TYPE and TARGET : Males")
sns.countplot('NAME_CONTRACT_TYPE', hue = "TARGET", data=app1[(app1['CODE_GENDER']=="M")])

plt.subplot(1,2,2)
plt.title("CONTRACT_TYPE and TARGET : Females")
sns.countplot('NAME_CONTRACT_TYPE', hue = "TARGET", data=app1[(app1['CODE_GENDER']=="F")])

plt.show();
In [95]:
### Checking on Income type and income groups with gender
plt.figure(figsize = (24,8))
###
plt.subplot(1,2,1)
plt.title("Income group and type for target-1")
sns.countplot('NAME_INCOME_TYPE', hue = 'AMT_INCOME_CAT', data =t1, palette="rocket")
plt.xticks(rotation=20, fontsize= 10,fontweight= 2)
####
plt.subplot(1,2,2)
plt.title("Income group and type for target-0")
sns.countplot('NAME_INCOME_TYPE', hue = 'AMT_INCOME_CAT', data =t0, palette="rocket")
plt.xticks(rotation=20, fontsize= 10,fontweight= 2)

plt.show();
In [96]:
### Checking on Family status and Age groups with Target
plt.figure(figsize = (24,8))
###
plt.subplot(1,2,1)
plt.title("Age group and family status for target-1")
sns.countplot('NAME_FAMILY_STATUS', hue = 'DAYS_BIRTH_CAT', data =t1, palette="plasma_r")
plt.xticks(rotation=20, fontsize= 10,fontweight= 2)
####
plt.subplot(1,2,2)
plt.title("Age group and family status for target-0")
sns.countplot('NAME_FAMILY_STATUS', hue = 'DAYS_BIRTH_CAT', data =t0, palette="plasma_r")
plt.xticks(rotation=20, fontsize= 10,fontweight= 2)

plt.show();

Observations

  • Maximum number of loans is offered/credited to people with medium and high income categories.
  • There are also chances that people with medium salary could have issues or repaying, some guideline needed here
  • Middle aged people and Seniors are offered high loan credits relative Teenagers/Young people
  • If we observe the box plot for Target-1 , we see that median of loans credited with Medium salaried and High salaried in close range, this might have payment issues, requires company to focus here.
  • In the Income type categories, we observe higher credits of loans to Males compared to females.However, In the payment issues group(target-1) females have high credits expecially women under maternity leave.
  • In payment issues group, people with Academic degree are paid high loan credits, Bank/company has to rethink on some guidelines here.
  • In contract type , cash loans, Males are having payment issues more than females.
  • The income group with 'low' salaries and 'High' salaries working professionals are having payment issues.
  • Married applicants are facing payment issues.
In [122]:
### Combining category and object lists
cat_lis = cat_lis +  obj_lis
cat_lis
Out[122]:
['AMT_INCOME_CAT',
 'AMT_CREDIT_CAT',
 'DAYS_BIRTH_CAT',
 'NAME_CONTRACT_TYPE',
 'CODE_GENDER',
 'FLAG_OWN_CAR',
 'FLAG_OWN_REALTY',
 'NAME_TYPE_SUITE',
 'NAME_INCOME_TYPE',
 'NAME_EDUCATION_TYPE',
 'NAME_FAMILY_STATUS',
 'NAME_HOUSING_TYPE',
 'OCCUPATION_TYPE',
 'WEEKDAY_APPR_PROCESS_START',
 'ORGANIZATION_TYPE']
In [98]:
num_lis
Out[98]:
['AMT_INCOME_TOTAL',
 'AMT_CREDIT',
 'AMT_ANNUITY',
 'AMT_GOODS_PRICE',
 'REGION_POPULATION_RELATIVE',
 'DAYS_BIRTH',
 'DAYS_EMPLOYED',
 'DAYS_REGISTRATION',
 'DAYS_ID_PUBLISH',
 'OWN_CAR_AGE',
 'CNT_FAM_MEMBERS',
 'EXT_SOURCE_2',
 'EXT_SOURCE_3',
 'OBS_30_CNT_SOCIAL_CIRCLE',
 'DEF_30_CNT_SOCIAL_CIRCLE',
 'OBS_60_CNT_SOCIAL_CIRCLE',
 'DEF_60_CNT_SOCIAL_CIRCLE',
 'DAYS_LAST_PHONE_CHANGE',
 'AMT_REQ_CREDIT_BUREAU_HOUR',
 'AMT_REQ_CREDIT_BUREAU_DAY',
 'AMT_REQ_CREDIT_BUREAU_WEEK',
 'AMT_REQ_CREDIT_BUREAU_MON',
 'AMT_REQ_CREDIT_BUREAU_QRT',
 'AMT_REQ_CREDIT_BUREAU_YEAR']
In [99]:
num_lis_int = ['AMT_INCOME_TOTAL','AMT_CREDIT','AMT_ANNUITY','AMT_GOODS_PRICE','DAYS_BIRTH']
In [103]:
#Pairplot for target-1, payment issues
pair1 = t1[['AMT_INCOME_TOTAL','AMT_CREDIT','AMT_ANNUITY','AMT_GOODS_PRICE','DAYS_BIRTH']].fillna(0)
sns.pairplot(pair1)

plt.show();
In [104]:
#Pairplot for target-0, No payment issues
pair0 = t0[['AMT_INCOME_TOTAL','AMT_CREDIT','AMT_ANNUITY','AMT_GOODS_PRICE','DAYS_BIRTH']].fillna(0)
sns.pairplot(pair0)

plt.show();

To identify the top 10 correlations, we will focus on factors that had some relationship merely or more and will add those variables to a new list some variables are evident from pair plots and others will be added based on observations

In [137]:
corr_var_num = ['AMT_INCOME_TOTAL',
 'AMT_CREDIT',
 'AMT_ANNUITY',
 'AMT_GOODS_PRICE',
 'REGION_POPULATION_RELATIVE',
 'DAYS_BIRTH',
 'DAYS_EMPLOYED',
 'DAYS_REGISTRATION',
 'DAYS_ID_PUBLISH']
In [138]:
## Generating heat map for the multi-variables of interest based on observations and analysis
corr_num_1 = t1[corr_var_num].corr(method = 'pearson')
plt.figure(figsize=(20,15))
sns.heatmap(corr_num_1, cmap='viridis')
plt.show();
In [131]:
# Performing correlation for Target-1 group
corr_df1 = corr_num_1.where(np.triu(np.ones(corr_num_1.shape),k=1).astype(np.bool)).unstack().reset_index()
corr_df1.columns=['Column1','Column2','Correlation']
corr_df1.dropna(subset = ['Correlation'], inplace = True)
corr_df1 = corr_df1.sort_values(by=['Correlation'], ascending=False)

corr_df1.head(10)
Out[131]:
Column1 Column2 Correlation
28 AMT_GOODS_PRICE AMT_CREDIT 0.982854
29 AMT_GOODS_PRICE AMT_ANNUITY 0.752891
19 AMT_ANNUITY AMT_CREDIT 0.752195
59 DAYS_EMPLOYED DAYS_BIRTH 0.582185
68 DAYS_REGISTRATION DAYS_BIRTH 0.289114
77 DAYS_ID_PUBLISH DAYS_BIRTH 0.252863
78 DAYS_ID_PUBLISH DAYS_EMPLOYED 0.229090
69 DAYS_REGISTRATION DAYS_EMPLOYED 0.192455
48 DAYS_BIRTH AMT_GOODS_PRICE 0.135516
46 DAYS_BIRTH AMT_CREDIT 0.135316

Top 10 variables of correlation as above for the people with payment difficulties.

In [ ]:
 
In [ ]:
 
In [ ]: